50+ Machine Learning (ML) Jobs in India

Role description:

You will be building curated enterprise grade solutions for GenAI application deployment at a production scale for clients. Solid understanding and hands on skills for GenAI application deployment that includes development and engineering skills. The role requires development and engineering skills on GenAI application development including data ingestion, choosing the right fit LLMs, simple and advanced RAG, guardrails, prompt engineering for optimisation, traceability, security, LLM evaluation, observability, and deployment at scale on cloud or on premise. As this space evolves very rapidly, candidates must also demonstrate knowledge on agentic AI frameworks. Candidates having strong background on ML with engineering skills is highly preferred for LLMOps role.

Required skills:

• 4-8 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases
• Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional)
• Should have worked on proprietary and open source large language models
• Experience on LLM fine tuning, creating distilled model from hosted LLMs
• Building data pipelines for model training
• Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation and observability
• Experience in GenAI application deployment on cloud and on-premise at scale for production
• Experience in creating CI/CD pipelines
• Working knowledge on Kubernetes
• Experience in minimum one cloud: AWS / GCP / Azure to deploy AI services
• Experience in creating workable prototypes using Agentic AI frameworks like CrewAI, Taskweaver, AutoGen
• Experience in light weight UI development using streamlit or chainlit (optional)
• Desired experience on open-source tools for ML development, deployment, observability and integration
• Background on DevOps and MLOps will be a plus
• Experience working on collaborative code versioning tools like GitHub/GitLab
• Team player with good communication and presentation skills

Job description:

Design, develop, and deploy ML models.

Build scalable AI solutions for real-world problems.

Optimize model performance and infrastructure.

Collaborate with the Technical Team and execute any other tasks assigned by the company/its representatives.

Required Candidate profile:

Strong Python & ML frameworks (TensorFlow/PyTorch).

Experience with data pipelines & model deployment.

Problem-solving & teamwork skills.

Passion for AI innovation.

Perks and benefits:

Learning Environment, Guidance & Support

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets. 

Work you’ll do

As a senior data scientist, you will lead data-driven projects, design and develop advanced analytical frameworks and AI/ML solutions to address business problems. You will collaborate with product managers, engineers and domain experts to deliver intelligent solutions and products. You’ll analyze new opportunities and ideas, evaluate new Al/ ML models/ frameworks/ platforms , conduct experiments, develop PoCs and prototypes.

As a Senior Data Scientist, you will oversee the activities of junior data scientists and analysts. You will provide your advanced expertise on statistical and mathematical concepts and guide the team in AI/ML algorithms and model development. You will stay up-to-date with the latest advancements in data science and machine learning, and AI.

The ideal candidate will have a strong background in statistics, machine learning, and programming, as well as excellent business understanding and product design thinking skills. If you are passionate about data and have a proven track record of delivering impactful data solutions, we would love to hear from you.

Responsibilities

• Lead data-driven projects from conception to development of data science models to deployment into intelligent products/ solutions.
• Manage, mentor and guide a team of high performing data scientists and data analysts.
• Oversee the activities of the team, ensuring proper execution of duties and alignment with business objectives.
• Create tools and frameworks that accelerate the delivery of scalable data analytics and AI/ML solutions and products.
• Ensure the adoption of best practices for data science development and AI/ML model lifecycle management.
• Stay up-to-date with the latest advancements in data science, machine learning and AI.
• Continuously improve data practices and methodologies.

Who you are

You are a data scientist who is passionate about using AI/ML to improve processes, products and delight customers. You have experience working with less than clean data, developing ML models, and orchestrating the deployment of them to production. You thrive on taking initiatives, are very comfortable with ambiguity and can passionately defend your decisions.

Requirements and skills

• 4+ years of experience in applying data science methods to develop models that extract business value from real-world data.
• 2+ years of experience in leading data science teams to develop and deliver data science, machine learning and AI solutions and products.
• Deep familiarity with a range of data science methods and algorithms (time-series analysis, regression analysis, experimental design, optimization, etc.)
• Strong understanding of ML algorithms including areas such as deep learning, NN, NLP, and more.
• Experience with AI foundational models and associated architectural and solution development frameworks
• Proficient Knowledge of cloud platforms (e.g., AWS, Azure, GCP), ML frameworks (e.g., TensorFlow, PyTorch) and MLOps practices and platforms like MLflow.
• Broad understanding of data structures, data engineering and architectures.
• Strong communication skills and teamwork.
• Strong interpersonal skills, result-oriented, self-motivated, proactive, and capable of handling multiple projects.
• Ability to work in collaborative settings, take accountability, and stay composed under stress.

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply. We encourage you to apply even if you believe you do not meet all the requirements listed above.  

That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers. 

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets. 

Work you’ll do

As a ML/ AI Engineer, you will be responsible for designing and developing intelligent software to solve business problems. You will collaborate with data scientists and domain experts to incorporate ML and AI technologies into existing or new workflows. You’ll analyze new opportunities and ideas. You’ll train and evaluate ML models, conduct experiments, develop PoCs and prototypes.

Responsibilities

• Designing, training, improving & launching machine learning models using tools such as XGBoost, Tensorflow, PyTorch.
• Own the end-to-end ML lifecycle and MLOps, including model deployment, performance tuning, on-going evaluation and maintenance.
• Improve the way we evaluate and monitor model and system performances.
• Proposing and implementing ideas that directly impact our operational and strategic metrics.
• Create tools and frameworks that accelerate the delivery of ML/ AI products.

Who you are

You are an engineer who is passionate about using AL/ML to improve processes, products and delight customers. You have experience working with less than clean data, developing ML models, and orchestrating the deployment of them to production. You thrive on taking initiatives, are very comfortable with ambiguity and can passionately defend your decisions.

Requirements and skills

• 4+ years of experience in programming languages such as Python, PySpark, or Scala.
• Proficient Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization, DevOps (Docker, Kubernetes), and MLOps practices and platforms like MLflow.
• Strong understanding of ML algorithms and frameworks (e.g., TensorFlow, PyTorch).
• Experience with AI foundational models and associated architectural and solution development frameworks
• Broad understanding of data structures, data engineering, statistical methodologies and machine learning models.
• Strong communication skills and teamwork.

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply. We encourage you to apply even if you believe you do not meet all the requirements listed above.  

That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers. 

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.

Roles & Responsibilities:  

We are looking for a Data Scientist to join the Data Science Client Services team to continue our success of  identifying high quality target audiences that generate profitable marketing return for our clients. We are looking  for experienced data science, machine learning and MLOps practitioners to design, build and deploy impactful  predictive marketing solutions that serve a wide range of verticals and clients. The right candidate will enjoy  contributing to and learning from a highly talented team and working on a variety of projects.  

We are looking for a Manager Data Scientist who will be responsible for  

• Ownership of design, implementation, and deployment of machine learning algorithms in a modern  Python-based cloud architecture  
• Design or enhance ML workflows for data ingestion, model design, model inference and scoring  3. Oversight on team project execution and delivery  
• Establish peer review guidelines for high quality coding to help develop junior team members’ skill set  growth, cross-training, and team efficiencies  
• Visualize and publish model performance results and insights to internal and external audiences  

Qualifications:  

• Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science,  Mathematics, Engineering)  
• Minimum of 12+ years of work experience in the end-to-end lifecycle of ML model development  and deployment into production within a cloud infrastructure (Databricks is highly preferred)  3. Proven ability to manage the output of a small team in a fast-paced environment and to lead by  example in the fulfilment of client requests  
• Exhibit deep knowledge of core mathematical principles relating to data science and machine  learning (ML Theory + Best Practices, Feature Engineering and Selection, Supervised and  Unsupervised ML, A/B Testing, etc.)  
• Proficiency in Python and SQL required; PySpark/Spark experience a plus  
• Ability to conduct a productive peer review and proper code structure in Github
• Proven experience developing, testing, and deploying various ML algorithms (neural networks,  XGBoost, Bayes, and the like)  
• Working knowledge of modern CI/CD methods  

This position description is intended to describe the duties most frequently performed by an individual in this  position. It is not intended to be a complete list of assigned duties but to describe a position level. 

Key Responsibilities

● Develop and maintain web applications using Django and Flask frameworks.

● Design and implement RESTful APIs using Django Rest Framework (DRF).

● Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation.

● Build and integrate APIs for AI/ML models into existing systems.

● Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn.

● Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases.

● Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization.

● Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker.

● Ensure the scalability, performance, and reliability of applications and deployed models.

● Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions.

● Write clean, maintainable, and efficient code following best practices. ● Conduct code reviews and provide constructive feedback to peers.

● Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. 

Required Skills and Qualifications

● Bachelor’s degree in Computer Science, Engineering, or a related field.

● 3+ years of professional experience as a Python Developer.

● Proficient in Python with a strong understanding of its ecosystem.

● Extensive experience with Django and Flask frameworks.

● Hands-on experience with AWS services for application deployment and management.

● Strong knowledge of Django Rest Framework (DRF) for building APIs. ● Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.

● Experience with transformer architectures for NLP and advanced AI solutions.

● Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).

● Familiarity with MLOps practices for managing the machine learning lifecycle.

● Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus.

● Excellent problem-solving skills and the ability to work independently and as part of a team.

● Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

What You will do:

● Create beautiful software experiences for our clients using design thinking, lean, and agile methodology.

● Work on software products designed from scratch using the latest cutting-edge technologies, platforms, and languages such as NodeJS, JavaScript.

● Work in a dynamic, collaborative, transparent, non-hierarchical culture.

● Work in collaborative, fast-paced,d and value-driven teams to build innovative customer experiences for our clients.

● Help to grow the next generation of developers and have a positive impact on the industry.

Basic Qualifications :

● Experience: 4+ years.

● Hands-on development experience with a broad mix of languages such as NodeJS,

● Server-side development experience, mainly in NodeJS, can be considerable

● UI development experience in AngularJS

● Passion for software engineering and following the best coding concepts .

● Good to great problem-solving and communication skills.

Nice to have Qualifications:

● Product and customer-centric mindset.

● Great OO skills, including design patterns.

● Experience with devops, continuous integration & deployment.

● Exposure to big data technologies, Machine Learning, and NLP will be a plus.

What You will do:

● Play the role of Data Analyst / ML Engineer

● Collection, cleanup, exploration and visualization of data

● Perform statistical analysis on data and build ML models

● Implement ML models using some of the popular ML algorithms

● Use Excel to perform analytics on large amounts of data

● Understand, model and build to bring actionable business intelligence out of data that is available in different formats

● Work with data engineers to design, build, test and monitor data pipelines for ongoing business operations







Basic Qualifications:

● Experience: 4+ years.

● Hands-on development experience playing the role of Data Analyst and/or ML Engineer.

● Experience in working with excel for data analytics

● Experience with statistical modelling of large data sets

● Experience with ML models and ML algorithms

● Coding experience in Python







Nice to have Qualifications:

● Experience with wide variety of tools used in ML

● Experience with Deep learning







Benefits:

● Competitive salary.

● Hybrid work model.

● Learning and gaining experience rapidly.

● Reimbursement for basic working set up at home.

● Insurance (including a top up insurance for COVID

● Candidate should have Hands-on development experience as Data Analyst and/or ML Engineer.

● Candidate must have Coding experience in Python.

● Candidate should have Good Experience with ML models and ML algorithms.

● Need Experience with statistical modelling of large data sets.

● Looking for Immediate joiners or max. 30 days of Notice Period candidates.

● The candidates based out of these locations - Bangalore, Pune, Hyderabad, Mumbai, will be preffered.

What You will do:

● Play the role of Data Analyst / ML Engineer

● Collection, cleanup, exploration and visualization of data

● Perform statistical analysis on data and build ML models

● Implement ML models using some of the popular ML algorithms

● Use Excel to perform analytics on large amounts of data

● Understand, model and build to bring actionable business intelligence out of data that is available in different formats

● Work with data engineers to design, build, test and monitor data pipelines for ongoing business operations

Basic Qualifications:

● Experience: 4+ years.

● Hands-on development experience playing the role of Data Analyst and/or ML Engineer.

● Experience in working with excel for data analytics

● Experience with statistical modelling of large data sets

● Experience with ML models and ML algorithms

● Coding experience in Python

Nice to have Qualifications:

● Experience with wide variety of tools used in ML

● Experience with Deep learning

Benefits:

● Competitive salary.

● Hybrid work model.

● Learning and gaining experience rapidly.

● Reimbursement for basic working set up at home.

● Insurance (including a top up insurance for COVID).

Requirement:

● Role: Fullstack Developer

● Location: Noida (Hybrid)

● Experience: 1-3 years

● Type: Full-Time

Role Description : We’re seeking a Fullstack Developer to join our fast-moving team at Velto. You’ll be responsible for building robust backend services and user-facing features using a modern tech stack. In this role, you’ll also get hands-on exposure to applied AI, contributing to the development of LLM-powered workflows, agentic systems, and custom fi ne-tuning pipelines.

Responsibilities:

● Develop and maintain backend services using Python and FastAPI

● Build interactive frontend components using React

● Work with SQL databases, design schema, and integrate data models with Python

● Integrate and build features on top of LLMs and agent frameworks (e.g., LangChain, OpenAI, HuggingFace)

● Contribute to AI fi ne-tuning pipelines, retrieval-augmented generation (RAG) setups, and contract intelligence workfl ows

● Profi ciency with unit testing libraries like jest, React testing library and pytest.

● Collaborate in agile sprints to deliver high-quality, testable, and scalable code

● Ensure end-to-end performance, security, and reliability of the stack

Required Skills:

● Proficient in Python and experienced with web frameworks like FastAPI

● Strong grasp of JavaScript and React for frontend development

● Solid understanding of SQL and relational database integration with Python

● Exposure to LLMs, vector databases, and AI-based applications (projects, internships, or coursework count)

● Familiar with Git, REST APIs, and modern software development practices

● Bachelor’s degree in Computer Science or equivalent fi eld

Nice to Have:

● Experience working with LangChain, RAG pipelines, or building agentic workfl ows

● Familiarity with containerization (Docker), basic DevOps, or cloud deployment

● Prior project or internship involving AI/ML, NLP, or SaaS products

Why Join Us?

● Work on real-world applications of AI in enterprise SaaS

● Fast-paced, early-stage startup culture with direct ownership

● Learn by doing—no layers, no red tape

● Hybrid work setup and merit-based growth

Job Description: AI/ML Engineer

Overview

We are looking for a highly skilled and experienced AI/ML Engineer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential.

Key Responsibilities

● Develop and maintain web applications using Django and Flask frameworks.

● Design and implement RESTful APIs using Django Rest Framework (DRF).

● Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation.

● Build and integrate APIs for AI/ML models into existing systems.

● Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn.

● Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases.

● Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization.

● Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker.

● Ensure the scalability, performance, and reliability of applications and deployed models.

● Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions.

● Write clean, maintainable, and efficient code following best practices.

● Conduct code reviews and provide constructive feedback to peers.

● Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML.

Required Skills and Qualifications

● Bachelor’s degree in Computer Science, Engineering, or a related field.

● 3+ years of professional experience as a Python Developer.

● Proficient in Python with a strong understanding of its ecosystem.

● Extensive experience with Django and Flask frameworks.

● Hands-on experience with AWS services for application deployment and management.

● Strong knowledge of Django Rest Framework (DRF) for building APIs.

● Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.

● Experience with transformer architectures for NLP and advanced AI solutions.

● Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).

● Familiarity with MLOps practices for managing the machine learning lifecycle.

● Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus.

● Excellent problem-solving skills and the ability to work independently and as part of a team.

● Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Job Title: Technical Thesis Writer (Machine Learning) – Internship

Location: Remote

Type: Internship

Duration: [3–6 months]

Start Date: Immediate Joiner

Stipend: 5k to 10k

About Us: Contents Shark is a Kolkata-based IT and custom software development company, proudly delivering high-quality content writing and software solutions at the most competitive market rates. We specialize in blending creativity with technology to offer services that are not only cost-effective but also tailored to meet your unique business needs.

At Contents Shark, we believe that words have power—and emotions. That’s why our content is written only by real humans. ✅ No AI-generated content. Ever. ❌ Our skilled team of writers crafts emotionally resonant content designed to connect with your audience on a deeper level.

From impactful content writing to reliable, scalable software development, we’re your go-to partner for quality and affordability.

📍 Based in Kolkata, West Bengal

Role Overview:

As a Technical Thesis Writer Intern, you’ll collaborate with researchers and engineers to transform complex machine learning concepts, experimental results, and technical ideas into well-structured, high-quality written content suitable for academic theses or research publications.

Key Responsibilities:

• Write and edit technical content for ML-related theses, white papers, and research documentation.
• Collaborate with ML researchers to understand project goals, methodologies, and outcomes.
• Translate mathematical models, algorithms, and experiments into clear academic language.
• Ensure proper citation and adherence to academic writing standards.
• Assist in literature review, formatting, and compiling references.
• Incorporate visuals, charts, and tables to enhance technical clarity.
• Proofread documents for grammar, coherence, and scientific accuracy.

Requirements:

• Pursuing or recently completed a degree in Computer Science, Machine Learning, Data Science, or related field.
• Strong grasp of ML concepts (e.g., supervised/unsupervised learning, neural networks, model evaluation).
• Excellent written communication and academic writing skills.
• Experience with tools like LaTeX, Overleaf, or other academic writing platforms.
• Familiarity with research papers and academic publication standards (IEEE, ACM, Springer, etc.).
• Ability to read and interpret scientific literature effectively.

Bonus Points If You Have:

• Prior experience writing a thesis or research paper in ML or AI.
• Hands-on experience with Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with citation managers (Zotero, Mendeley, etc.).

What You’ll Gain:

• Experience working alongside AI researchers and professionals.
• A deeper understanding of how research translates into real-world impact.
• Opportunity to contribute to published academic work (authorship may be possible).
• Certificate and letter of recommendation upon successful completion.

Experience:

• Junior Level: 4+ years
• Senior Level: 8+ years

Work Mode:Remote

About the Role:

We are seeking a highly skilled and motivated Data Scientist with deep expertise in Machine Learning (ML), Deep Learning, and Large Language Models (LLMs) to join our forward-thinking AI & Data Science team. This is a unique opportunity to contribute to real-world impact in the healthcare industry, transforming the way patients and providers interact with health data through Generative AI and NLP-driven solutions.

Key Responsibilities:

• LLM Development & Fine-Tuning:
• Fine-tune and customize LLMs (e.g., GPT, LLaMA2, Mistral) for use cases such as text classification, NER, summarization, Q&A, and sentiment analysis.
• Experience with other transformer-based models (e.g., BERT) is a plus.
• Data Engineering & Pipeline Design:
• Collaborate with data engineering teams to build scalable, high-quality data pipelines for training/fine-tuning LLMs on structured and unstructured healthcare datasets.
• Experimentation & Evaluation:
• Design rigorous model evaluation and testing frameworks (e.g., with tools like TruLens) to assess performance and optimize model outcomes.
• Deployment & MLOps Integration:
• Work closely with MLOps teams to ensure seamless integration of models into production environments on cloud platforms (AWS, Azure, GCP).
• Predictive Modeling in Healthcare:
• Apply ML/LLM techniques to build predictive models for use cases in oncology (e.g., survival analysis, risk prediction, RWE generation).
• Cross-functional Collaboration:
• Engage with domain experts, product managers, and clinical teams to translate healthcare challenges into actionable AI solutions.
• Mentorship & Knowledge Sharing:
• Mentor junior team members and contribute to the growth of the team’s technical expertise.

Qualifications:

• Master’s or Doctoral degree in Computer Science, Data Science, Artificial Intelligence, or related field.
• 5+ years of hands-on experience in machine learning and deep learning, with at least 12 months of direct work on LLMs.
• Strong coding skills in Python, with experience in libraries like HuggingFace Transformers, spaCy, NLTK, TensorFlow, or PyTorch.
• Experience with prompt engineering, RAG pipelines, and evaluation techniques in real-world NLP deployments.
• Hands-on experience in deploying models on cloud platforms (AWS, Azure, or GCP).
• Familiarity with the healthcare domain and working on Real World Evidence (RWE) datasets is highly desirable.

Preferred Skills:

• Strong understanding of healthcare data regulations (HIPAA, PHI handling, etc.)
• Prior experience in speech and text-based AI applications
• Excellent communication and stakeholder engagement skills
• A passion for impactful innovation in the healthcare space

Job Title: AI Architecture Intern

Company: PGAGI Consultancy Pvt. Ltd.

Location: Remote

Employment Type: Internship

Position Overview

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

Duration: 6 months

Key Responsibilities:

• AI System Architecture Design: Collaborate with the technical team to design robust, scalable, and high-performance AI system architectures aligned with client requirements.
• Client-Focused Solutions: Analyze and interpret client needs to ensure architectural solutions meet expectations while introducing innovation and efficiency.
• Methodology Development: Assist in the formulation and implementation of best practices, methodologies, and frameworks for sustainable AI system development.
• Technology Stack Selection: Support the evaluation and selection of appropriate tools, technologies, and frameworks tailored to project objectives and future scalability.
• Team Collaboration & Learning: Work alongside experienced AI professionals, contributing to projects while enhancing your knowledge through hands-on involvement.

Requirements:

• Strong understanding of AI concepts, machine learning algorithms, and data structures.
• Familiarity with AI development frameworks (e.g., TensorFlow, PyTorch, Keras).
• Proficiency in programming languages such as Python, Java, or C++.
• Demonstrated interest in system architecture, design thinking, and scalable solutions.
• Up-to-date knowledge of AI trends, tools, and technologies.
• Ability to work independently and collaboratively in a remote team environment

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

Compensation:

- Joining Bonus: A one-time bonus of INR 2,500 will be awarded upon joining.

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

After completion of the internship period, there is a chance to get a full-time opportunity as an AI/ML engineer (Up to 12 LPA).

Preferred Experience:

• Prior experience in roles such as AI Solution Architect, ML Architect, Data Science Architect, or AI/ML intern.
• Exposure to AI-driven startups or fast-paced technology environments.
• Proven ability to operate in dynamic roles requiring agility, adaptability, and initiative.

Join CD Edverse, an innovative EdTech app, as AI Specialist! Develop a deep research tool to generate comprehensive courses and enhance AI mentors. Must have strong Python, NLP, and API integration skills. Be part of transforming education! Apply now.

Pattern Agentix (patternagentix.com) is seeking a Graduate AI researcher and developer to create advanced multi-agent AI systems leveraging cutting-edge AI research and Retrieval-Augmented Generation (RAG) techniques. The ideal candidate should have a strong academic and research background in AI, demonstrated through published research papers, open-source contributions (e.g., GitHub).

Exposure to bioinformatics or some background in bioinformatics a plus.

Key Responsibilities

Conduct advanced AI research and apply findings to develop scalable multi-agent AI architectures.

Develop intelligent AI agents using modern frameworks  

Apply Retrieval-Augmented Generation (RAG) techniques to enhance agent capabilities.

Required Skills & Experience

Master’s or Ph.D. in AI, Machine Learning, Computer Science, or a related field with some exposure to bioinformatics. 

Strong AI research background, demonstrated through peer-reviewed publications in top-tier AI/ML conferences or journals (e.g., NeurIPS, ICML, AAAI, CVPR, ACL, etc.).

Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow).

Experience with multi-agent AI systems and their architectural design.

Project Scope

The project involves developing a sophisticated multi-agent system that:

Leverages RAG for improved information retrieval and knowledge generation.

We are open on compensation models but compensation will be aligned to local norms. We would consider part time or full time.

Loyalty Juggernaut Inc. (LJI) is a Silicon Valley-based product company, founded by industry veterans with decades of expertise in CRM, Loyalty, and Mobile AdTech. With a global footprint spanning the USA, Europe, UAE, India, and Latin America, we are trusted partners for customer centric enterprises across diverse industries including Airlines, Airport, Retail, Hospitality, Banking, F&B, Telecom, Insurance and Ecosystem.

As pioneers in next-generation loyalty and customer engagement solutions, we are not just transforming loyalty—we are redefining it. With a passion for innovation and a commitment to excellence, LJI is reshaping the loyalty landscape, enabling enterprises to create meaningful, long-lasting relationships with their customers. We are THE JUGGERNAUTS, driving innovation and impact in the loyalty ecosystem.

At the core of our innovation is GRAVTY®, a revolutionary Digital Transformation SaaS Product that empowers multinational enterprises to build deeper customer connections. Designed for scalability and personalization, GRAVTY® delivers cutting-edge loyalty solutions that transform customer engagement across diverse markets.

Our Impact:

• 400+ million members connected through our platform.
• Trusted by 100+ global brands/partners, driving loyalty and brand devotion worldwide.

Proud to be a Three-Time Champion for Best Technology Innovation in Loyalty!!

Explore more about us at www.lji.io.

We are seeking a highly skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will have a proven track record of developing and deploying machine learning models in production that drive significant business impact. With a passion for data science and a competitive edge demonstrated through Kaggle rankings, you will play a crucial role in advancing our Machine Learning initiatives.

What you will OWN:

• Design, develop, and deploy machine learning models to enhance customer loyalty and engagement.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Conduct data exploration and feature engineering to improve model performance.
• Stay abreast of the latest machine learning techniques and technologies, applying them to solve challenging problems.
• Evaluate and monitor model performance, making iterative improvements to achieve business objectives.

You would make a GREAT FIT if you have :

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Minimum of 5 years of experience in building and deploying machine learning models.
• Strong proficiency in programming languages such as Python or R.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas).
• Knowledge on cloud computing services (e.g., AWS, Google Cloud, Azure) and their machine learning offerings.
• Proven track record on Kaggle(or similar) with a high ranking, demonstrating expertise in data science competitions.
• Experience with deep learning/Neural networks (nice to have).
• Ability to work in a fast-paced, agile development environment.
• Passion for innovation and a desire to stay at the cutting edge of machine learning and data science.
• Experience with building and deploying ML models in production.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.
• Knowledge of reinforcement learning and recommendation systems – Nice to have.

Why should you consider us?

• Opportunity to Innovate with and Learn from a World-class technology team
• Dabble into the future of technology - Enterprise Cloud Computing, Blockchain, Machine Learning and AI, Mobile, Digital Wallets, and much more...
• Grow with a fast growing company with global presence and recognition.

Responsibilities

• Model Development and Optimization: Design, build, and deploy NLP models, including transformer models (e.g., BERT, GPT, T5) and other SOTA architectures, as well as traditional machine learning algorithms (e.g., SVMs, Logistic Regression) for specific applications.

• Data Processing and Feature Engineering: Develop robust pipelines for text preprocessing, feature extraction, and data augmentation for structured and unstructured data.

• Model Fine-Tuning and Transfer Learning:

Fine-tune large language models for specific applications, leveraging transfer learning techniques, domain adaptation, and a mix of deep learning and traditional ML models.

• Performance Optimization: Optimize model performance for scalability and latency, applying techniques such as quantization, ONNX formats etc.

• Research and Innovation: Stay updated with the latest research in NLP, Deep Learning, and Generative AI, applying innovative solutions and techniques (e.g., RAG applications, Prompt engineering, Self-supervised learning).

• Stakeholder Communication: Collaborate with stakeholders to gather requirements, conduct due diligence, and communicate project updates effectively, ensuring alignment between technical solutions and business goals.

• Evaluation and Testing: Establish metrics, benchmarks, and methodologies for model evaluation, including cross-validation, and error analysis, ensuring models meet accuracy, fairness, and reliability standards. • Deployment and Monitoring: Oversee the deployment of NLP models in production, ensuring seamless integration, model monitoring, and retraining processes. 

AI Architect

Location and Work Requirements

-      Position is based in KSA or UAE

-      Must be eligible to work abroad without restrictions

-      Regular travel within the region required

Key Responsibilities

-      Minimum 7+ years of experience in Data & Analytics domain and minimum 2 years as AI Architect

-      Drive technical solution design engagements and implementations

-      Support customer implementations across various deployment modes (Public SaaS, Single-Tenant SaaS, and Self-Managed Kubernetes)

-      Provide advanced technical support, including deployment troubleshooting and coordinating with customer AI Architect and product development teams when needed

-      Guide customers in implementing generative AI solutions, including LLM integration, vector database management, and prompt engineering

-      Coordinate and oversee platform installations and configuration work

-      Assist customers with platform integration, including API implementation and custom model deployment

-      Establish and promote best practices for AI governance and MLOps

-      Proactively identify and address potential technical challenges before they impact customer success

Required Technical Skills

-      Strong programming skills in Python with experience in data processing libraries (Pandas, NumPy)

-      Proficiency in SQL and experience with various database technologies including MongoDB

-      Container technologies: Docker (build, modify, deploy) and Kubernetes (kubectl, helm)

-      Version control systems (Git) and CI/CD practices

-      Strong networking fundamentals (TCP/IP, SSH, SSL/TLS)

-      Shell scripting (Linux/Unix environments)

-      Experience in working on on-prem, airgapped environments

-      Experience with cloud platforms (AWS, Azure, GCP)

Required AI/ML Skills

-      Deep expertise in both predictive machine learning and generative AI technologies

-      Proven experience implementing and operationalizing large language models (LLMs)

-      Strong knowledge of vector databases, embedding technologies, and similarity search concepts

-      Advanced understanding of prompt engineering, LLM evaluation, and AI governance methods

-      Practical experience with machine learning deployment and production operations

-      Understanding of AI safety considerations and risk mitigation strategies

Required Qualities

-      Excellent English communication skills with ability to explain complex technical concepts. Arabic language is advantageous.

-      Strong consultative approach to understanding and solving business problems

-      Proven ability to build trust through proactive customer engagement

-      Strong problem-solving abilities and attention to detail

-      Ability to work independently and as part of a distributed team

-      Willingness to travel within the Middle East & Africa region as needed 

Role - AI Architect

Location - Noida/Remote

Mode - Hybrid - 2 days WFO

As an AI Architect at CLOUDSUFI, you will play a key role in driving our AI strategy for customers in the Oil & Gas, Energy, Manufacturing, Retail, Healthcare, and Fintech sectors. You will be responsible for delivering large-scale AI transformation programs for multinational organizations, preferably Fortune 500 companies. You will also lead a team of 10-25 Data Scientists to ensure successful project execution.

Required Experience

● Minimum 12+ years of experience in Data & Analytics domain and minimum 3 years as AI Architect

● Master’s or Ph.D. in a discipline such as Computer Science, Statistics or Applied Mathematics with an emphasis or thesis work on one or more of the following: deep learning, machine learning, Generative AI and optimization.

● Must have experience of articulating and presenting business transformation journey using AI / Gen AI technology to C-Level Executives

● Proven experience in delivering large-scale AI and GenAI transformation programs for multinational organizations

● Strong understanding of AI and GenAI algorithms and techniques

● Must have hands-on experience in open-source software development and cloud native technologies especially on GCP tech stack

● Proficiency in python and prominent ML packages Proficiency in Neural Networks is desirable, though not essential

● Experience leading and managing teams of Data Scientists, Data Engineers and Data Analysts

● Ability to work independently and as part of a team Additional Skills

(Preferred):

● Experience in the Oil & Gas, Energy, Manufacturing, Retail, Healthcare, or Fintech sectors

● Knowledge of cloud platforms (AWS, Azure, GCP)

● GCP Professional Cloud Architect and GCP Professional Machine Learning Engineer Certification

● Experience with AI frameworks and tools (TensorFlow, PyTorch, Keras)

Key Responsibilities:

Develop and maintain backend applications using FastAPI, Django, Flask.

Design and implement RESTful APIs with API Gateway, rate limiting, and documentation.

Work with databases such as SQLite, SQL, MySQL, Redis for efficient data management.

Integrate and manage third-party APIs, including payment gateways.

Deploy and manage applications using Docker, Git, Nginx, Celery, Linux, and Windows environments.

Ensure security best practices including JWT, OAuth, API security, input validation, and reverse proxy configuration.

Monitor, troubleshoot, and optimize application performance.

Implement AI/ML models and WASM technology for specialized use cases.

Work collaboratively with frontend developers (JavaScript, HTML5, CSS3, Bootstrap).

Required Skills & Qualifications:

Strong proficiency in Python, with expertise in FastAPI, Django, and Flask.

Experience in RESTful API design, API security, and third-party integrations.

Hands-on experience with databases (SQLite, SQL, MySQL, Redis) and data processing.

Proficiency in Docker, Git, Nginx, Celery, and system administration (Linux/Windows).

Strong understanding of JWT, OAuth, API security, and reverse proxy configurations.

Experience with video compression, AI/ML implementation, and WASM technology is a plus.

Knowledge of JavaScript, HTML5, CSS3, Bootstrap for seamless backend integration.

Strong problem-solving skills and ability to debug complex issues.

Bachelor's/Master’s degree in Computer Science, IT, or a related field (or equivalent experience).

Job Description: Machine Learning Engineer – LLM and Agentic AI

Location: Ahmedabad

Experience: 4+ years

Employment Type: Full-Time

________________________________________

About Us

Join a forward-thinking team at Tecblic, where innovation meets cutting-edge technology. We specialize in delivering AI-driven solutions that empower businesses to thrive in the digital age. If you're passionate about LLMs, machine learning, and pushing the boundaries of Agentic AI, we’d love to have you on board.

________________________________________

Key Responsibilities

• Research and Development: Research, design, and fine-tune machine learning models, with a focus on Large Language Models (LLMs) and Agentic AI systems.

• Model Optimization: Fine-tune and optimize pre-trained LLMs for domain-specific use cases, ensuring scalability and performance.

• Integration: Collaborate with software engineers and product teams to integrate AI models into customer-facing applications and platforms.

• Data Engineering: Perform data preprocessing, pipeline creation, feature engineering, and exploratory data analysis (EDA) to prepare datasets for training and evaluation.

• Production Deployment: Design and implement robust model deployment pipelines, including monitoring and managing model performance in production.

• Experimentation: Prototype innovative solutions leveraging cutting-edge techniques like reinforcement learning, few-shot learning, and generative AI.

• Technical Mentorship: Mentor junior team members on best practices in machine learning and software engineering.

________________________________________

Requirements

Core Technical Skills:

• Proficiency in Python for machine learning and data science tasks.

• Expertise in ML frameworks and libraries like PyTorch, TensorFlow, Hugging Face, Scikit-learn, or similar.

• Solid understanding of Large Language Models (LLMs) such as GPT, T5, BERT, or Bloom, including fine-tuning techniques.

• Experience working on NLP tasks such as text classification, entity recognition, summarization, or question answering.

• Knowledge of deep learning architectures, such as transformers, RNNs, and CNNs.

• Strong skills in data manipulation using tools like Pandas, NumPy, and SQL.

• Familiarity with cloud services like AWS, GCP, or Azure, and experience deploying ML models using tools like Docker, Kubernetes, or serverless functions.

Additional Skills (Good to Have):

• Exposure to Agentic AI (e.g., autonomous agents, decision-making systems) and practical implementation.

• Understanding of MLOps tools (e.g., MLflow, Kubeflow) to streamline workflows and ensure production reliability.

• Experience with generative AI models (GANs, VAEs) and reinforcement learning techniques.

• Hands-on experience in prompt engineering and few-shot/fine-tuned approaches for LLMs.

• Familiarity with vector databases like Pinecone, Weaviate, or FAISS for efficient model retrieval.

• Version control (Git) and familiarity with collaborative development practices.

General Skills:

• Strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability.

• Solid understanding of algorithms and data structures to solve complex ML problems.

• Ability to handle and process large datasets using distributed frameworks like Apache Spark or Dask (optional but useful).

________________________________________

Soft Skills:

• Excellent problem-solving and critical-thinking abilities.

• Strong communication and collaboration skills to work with cross-functional teams.

• Self-motivated, with a continuous learning mindset to keep up with emerging technologies.

Dear Candidate;

Greetings from!!

Vinga Software Solutions

Product Details:

Bautomate is a Intelligent Business Process Automation Software comprehensive hyper automation platform housed within a single software system. | AI-Powered Process Automation Solution

Vinga Software Solutions is the Parent Company of Bautomate Product https://www.vinga.biz/about/ and you'll be in the role of Vinga Software Solutions.

About the Product:

Bautomate offers cognitive automation solutions designed to automate repetitive tasks, eliminate bottlenecks, and enable seamless workflows.

The product combines artificial intelligence, business process management, robotic process automation (RPA), and optical character recognition (OCR) to streamline and optimize various business processes. It provides a transformative solution to empower businesses of all sizes across industries to achieve unprecedented levels of productivity and success.

Unique features of Bautomate's business process automation solutions include:

Workflow Automation: Bautomate's intuitive drag-and-drop interface enables users to easily automate complex workflows, leveraging pre-built components for effective intelligent automation.

Data Integration: Seamless integration with all existing systems and applications ensures smooth data transfer and real-time information exchange, enhancing collaboration and decision-making.

Intelligent Analytics: By harnessing advanced analytics capabilities, businesses can gain valuable insights into their processes, identify areas for improvement, and make data-driven decisions. It allows organizations to optimize their operations and drive growth based on comprehensive data analysis.

Cognitive Automation: Our comprehensive solution encompasses Intelligent Document Capture utilizing OCR & NLP, Predictive Analytics for Forecasting, Computer Vision and Image Processing, Anomaly Detection, and an Intelligent Decision Engine.

Scalability and Flexibility: Bautomate platform is highly scalable, accommodating the evolving needs of businesses as they grow. It offers flexible deployment options, including on-premises and cloud-based solutions.

About Us: We are leading provider of business process automation, aiding firms to streamline operations, boost efficiency, and spur growth. Our suite includes AP automation, purchase order automation, P2P automation, invoice automation, IVR testing automation, form etc.

AI/ML Developer – Lead (LLM & Gen AI)

Experience Required: 5 to 9 years

Job Location: Madurai

Role Overview:

We are looking for a Senior AI/ML Developer with expertise in Large Language Models (LLM) & Generative AI. The ideal candidate should have experience in developing and deploying AI-driven solutions.

Key Responsibilities:

• Design and develop AI/ML models focusing on LLMs & Generative AI.
• Collaborate with data scientists to optimize model performance.
• Deploy AI solutions on cloud platforms (AWS, GCP, Azure).
• Lead AI projects and mentor junior developers.

Required Skills:

• Expertise in LLMs, Gen AI, NLP, and Deep Learning.
• Strong coding skills in Python, TensorFlow, PyTorch.
• Experience in ML model deployment using Docker/Kubernetes.
• Knowledge of cloud-based AI/ML services.

Can you pls fill these details

Total work experience :

Experience in AI/ML :

Exp in LLM & Generative AI :

Exp in NLP, deep learning, python / pytorch / tensorflow :

Exp in 

Current CTC ;

Expected CTC :

Last working day :

Notice Period:

Current Location :

Native Place :

Reason for Job Change :

Marital Status :

Do you have any offer in hand :

Job Description

 Sr. LLM Engineer: Gen AI 

Exp 5Yrs to 9 Yrs

Location- Hyderabad/ Gurgaon WFO, 3 days hybrid

Notice - 15 Days / Immediate only

Skill

• 
  
• 5+ years of professional experience in building Machine Learning models & systems
• 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.
• Experience in driving the engineering team toward a technical roadmap.
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Understanding of Cloud services, including Azure, GCP, or AWS
• Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

• Model Development and Deployment:
• Design, develop, and implement machine learning models for various applications (e.g., classification, regression, natural language processing, computer vision).
• Deploy and maintain machine learning models in production environments.
• Optimize model performance and efficiency through feature engineering, hyperparameter tuning, and model selection.
• Build and maintain scalable machine learning pipelines.
• Data Engineering and Management:
• Work with large datasets, including data cleaning, preprocessing, and feature extraction.
• Develop and maintain data pipelines for data ingestion, transformation, and storage.
• Ensure data quality and consistency.

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets.

Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Work you’ll do

As an AI Engineer at Moative, you will be at the forefront of applying cutting-edge AI to solve real-world problems. You will be instrumental in designing and developing intelligent software solutions, leveraging the power of foundation models to automate and optimize critical workflows. Collaborating closely with domain experts, data scientists, and ML engineers, you will integrate advanced ML and AI technologies into both existing and new systems. This role offers a unique opportunity to explore innovative ideas, experiment with the latest foundation models, and build impactful products that directly enhance the lives of citizens by transforming how government services are delivered. You'll be working on challenging and impactful projects that move the needle on traditionally difficult-to-automate processes.

Responsibilities

• Utilize and adapt foundation models, particularly in vision and data extraction, as the core building blocks for developing impactful products aimed at improving government service delivery. This includes prompt engineering, fine-tuning, and evaluating model performance
• Architect, build, and deploy intelligent AI agent-driven workflows that automate and optimize key processes within government service delivery. This encompasses the full lifecycle from conceptualization and design to implementation and monitoring
• Contribute directly to enhancing our model evaluation and monitoring methodologies to ensure robust and reliable system performance. Proactively identify areas for improvement and implement solutions to optimize model accuracy and efficiency
• Continuously learn and adapt to the rapidly evolving landscape of AI and foundation models, exploring new techniques and technologies to enhance our capabilities and solutions

Who you are

You are a passionate and results-oriented engineer who is driven by the potential of AI/ML to revolutionize processes, enhance products, and ultimately improve user experiences. You thrive in dynamic environments and are comfortable navigating ambiguity. You possess a strong sense of ownership and are eager to take initiative, advocating for your technical decisions while remaining open to feedback and collaboration. 

You are adept at working with real-world, often imperfect data, and have a proven ability to develop, refine, and deploy AI/ML models into production in a cost-effective and scalable manner. You are excited by the prospect of directly impacting government services and making a positive difference in the lives of citizens

Skills & Requirements

• 3+ years of experience in programming languages such as Python or Scala
• Proficient knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization, DevOps (Docker, Kubernetes)
• Tuning and deploying foundation models, particularly for vision tasks and data extraction
• Excellent analytical and problem-solving skills with the ability to break down complex challenges into actionable steps
• Strong written and verbal communication skills, with the ability to effectively articulate technical concepts to both technical and non-technical audiences

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply. We encourage you to apply even if you believe you do not meet all the requirements listed above.  

That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers. 

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets.

Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Role

We seek experienced ML/AI professionals with strong backgrounds in computer science, software engineering, or related elds to join our Azure-focused MLOps team. If you’re passionate about deploying complex machine learning models in real-world settings, bridging the gap between research and production, and working on high-impact projects, this role is for you.

Work you’ll do

As an operations engineer, you’ll oversee the entire ML lifecycle on Azure—spanning initial proofs-of-concept to large-scale production deployments. You’ll build and maintain automated training, validation, and deployment pipelines using Azure DevOps, Azure ML, and related services, ensuring models are continuously monitored, optimized for performance, and cost-eective. By integrating MLOps practices such as MLow and CI/CD, you’ll drive rapid iteration and experimentation. In close collaboration with senior ML engineers, data scientists, and domain experts, you’ll deliver robust, production-grade ML solutions that directly impact business outcomes. 

Responsibilities

• ML-focused DevOps: Set up robust CI/CD pipelines with a strong emphasis on model versioning, automated testing, and advanced deployment strategies on Azure.
• Monitoring & Maintenance: Track and optimize the performance of deployed models through live metrics, alerts, and iterative improvements.
• Automation: Eliminate repetitive tasks around data preparation, model retraining, and inference by leveraging scripting and infrastructure as code (e.g., Terraform, ARM templates).
• Security & Reliability: Implement best practices for securing ML workows on Azure, including identity/access management, container security, and data encryption.
• Collaboration: Work closely with the data science teams to ensure model performance is within agreed SLAs, both for training and inference.

Skills & Requirements

• 2+ years of hands-on programming experience with Python (PySpark or Scala optional).
• Solid knowledge of Azure cloud services (Azure ML, Azure DevOps, ACI/AKS).
• Practical experience with DevOps concepts: CI/CD, containerization (Docker, Kubernetes), infrastructure as code (Terraform, ARM templates).
• Fundamental understanding of MLOps: MLow or similar frameworks for tracking and versioning.
• Familiarity with machine learning frameworks (TensorFlow, PyTorch, XGBoost) and how to operationalize them in production.
• Broad understanding of data structures and data engineering.

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, eiciency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, x or improve – anything that isn’t done right, irrespective of who did it. Be selsh about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply here. We encourage you to apply even if you believe you do not meet all the requirements listed above.

That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers.

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.

Need Excellent Communication skills as the company is dealing with US Clients also

• 3+ years in AI development, with experience in multi-agent systems, logistics, or related fields.

• Proven experience in conducting A/B testing and beta testing for AI systems.

• Hands-on experience with CrewAI and LangChain tools.

• Should have hands-on experience working with end-to-end chatbot development, specifically with Agentic and RAG-based chatbots. It is essential that the candidate has been involved in the entire lifecycle of chatbot creation, from design to deployment.

• Should have practical experience with LLM application deployment.

• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).

• Experience in setting up monitoring dashboards with tools like Grafana, Tableau, or similar.

• Proficiency with cloud platforms (AWS, Azure, GCP)

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets.

Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs. 

Role

We seek skilled and experienced data science/machine learning professionals with a strong background in at least one of mathematics, financial engineering, and electrical engineering, to join our Energy & Utilities team. If you are interested in artificial intelligence, excited about solving real business problems in the energy and utilities industry, and keen to contribute to impactful projects, this role is for you!

Work you’ll do

As a data scientist in the energy and utilities industry, you will perform quantitative analysis and build mathematical models to forecast energy demand, supply and strategies of efficient load balancing. You will work on models for short term and long term pricing, improving operational efficiency, reducing costs, and ensuring reliable power supply. You’ll work closely with cross-functional teams to deploy these models in solutions that provide insights/ solutions to real-world business problems. You will also be involved in conducting experiments, building POCs and prototypes.

Responsibilities

• Develop and implement quantitative models for load forecasting, energy production and distribution optimization.
• Analyze historical data to identify and predict extreme events, and measure impact of extreme events. Enhance existing pricing and risk management frameworks.
• Develop and implement quantitative models for energy pricing and risk management. Monitor market conditions and adjust models as needed to ensure accuracy and effectiveness.
• Collaborate with engineering and operations teams to provide quantitative support for energy projects. Enhance existing energy management systems and develop new strategies for energy conservation.
• Maintain and improve quantitative tools and software used in energy management.
• Support end-to-end ML/ AI model lifecycle - from data preparation, data analysis and feature engineering to model development, validation and deployment
• Collaborate with domain experts, engineers, and stakeholders in translating business problems into data-driven solutions
• Document methodologies and results, present findings and communicate insights to non-technical audiences

Skills & Requirements

• Strong background in mathematics, econometrics, electrical engineering, or a related eld.
• Experience data analysis, and quantitative modeling using programming languages such as Python or R.
• Excellent analytical and problem-solving skills.
• Strong understanding and experience with data analysis, statistical and mathematical concepts and ML algorithms
• Proficiency in Python and familiarity with basic Python libraries for data analysis and ML algorithms (such as NumPy, Pandas, ScikitLearn, NLTK).
• Strong communication skills
• Strong collaboration skills, ability to work with engineering and operations teams.
• A continuous learning attitude and a problem solving mind-set

Good to have -

• Knowledge of energy markets, regulations, and utility operation.
• Working knowledge of cloud platforms (e.g., AWS, Azure, GCP).
• Broad understanding of data structures and data engineering.

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less. Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, x or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply here. We encourage you to apply even if you believe you do not meet all the requirements listed above.

That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers.

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.

We're Hiring: Machine Learning Engineer

Location: Jaipur/Indore/Gurgaon

Job Type: Full-time

Experience: Mid-Senior (4+ years in ML, 1+ year with LLMs)

We’re looking for a Machine Learning Engineer / Data Scientist with expertise in ML, NLP, and Large Language Models (LLMs). The ideal candidate will have 4+ years of ML/NLP experience and at least 1 year of hands-on experience with LLMs (fine-tuning, RAG, AI-driven agents).

Key Responsibilities:

Fine-tune and optimize LLMs (GPT, LLaMA, Mistral, etc.)

Develop AI agents using CrewAI, LangChain, AutoGPT

Build and enhance RAG pipelines with FAISS, Pinecone, Weaviate

Work on NLP models (text classification, summarization, NER, etc.)

Stay updated with the latest in LLM advancements

Skills & Qualifications:

✅ 4+ years in ML/NLP, 1+ year in LLMs

✅ Proficient in Python, PyTorch, TensorFlow

✅ Experience with LLM fine-tuning (LoRA, PEFT, QLoRA)

✅ Hands-on with AI agents and RAG tools

Good-to-Have:

🔹 Multi-modal AI (text-to-image, speech-to-text)

🔹 Knowledge of contrastive learning, RLHF

🔹 Open-source contributions or AI publications

Dear Professionals!

We are HiringGENAIML Developer!

Key Skills & Qualifications

• Strong proficiency in Python, with a focus on GenAI best practices and frameworks.
• Expertise in machine learning algorithms, data modeling, and model evaluation.
• Experience with NLP techniques, computer vision, or generative AI.
• Deep knowledge of LLMs, prompt engineering, and GenAI technologies.
• Proficiency in data analysis tools like Pandas and NumPy.
• Hands-on experience with vector databases such as Weaviate or Pinecone.
• Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment.
• Strong problem-solving skills and critical-thinking abilities.
• Experience with AI model fairness, bias detection, and adversarial testing.
• Excellent communication skills to translate business needs into technical solutions.

Preferred Qualifications

• Bachelors or Masters degree in Computer Science, AI, or a related field.
• Experience with MLOps practices for model deployment and maintenance.
• Strong understanding of data pipelines, APIs, and cloud infrastructure.
• Advanced degree in Computer Science, Machine Learning, or a related field (preferred).

JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.

Mon-fri role, In office, with excellent perks and benefits!

Position Overview

We are seeking a Software Architect to lead the design and development of high-performance robotics and AI software stacks utilizing NVIDIA technologies. This role will focus on defining scalable, modular, and efficient architectures for robot perception, planning, simulation, and embedded AI applications. You will collaborate with cross-functional teams to build next-generation autonomous systems 9

Key Responsibilities:

1. System Architecture & Design

● Define scalable software architectures for robotics perception, navigation, and AI-driven decision-making.

● Design modular and reusable frameworks that leverage NVIDIA’s Jetson, Isaac ROS, Omniverse, and CUDA ecosystems.

● Establish best practices for real-time computing, GPU acceleration, and edge AI inference.

2. Perception & AI Integration

● Architect sensor fusion pipelines using LIDAR, cameras, IMUs, and radar with DeepStream, TensorRT, and ROS2.

● Optimize computer vision, SLAM, and deep learning models for edge deployment on Jetson Orin and Xavier.

● Ensure efficient GPU-accelerated AI inference for real-time robotics applications.

3. Embedded & Real-Time Systems

● Design high-performance embedded software stacks for real-time robotic control and autonomy.

● Utilize NVIDIA CUDA, cuDNN, and TensorRT to accelerate AI model execution on Jetson platforms.

● Develop robust middleware frameworks to support real-time robotics applications in ROS2 and Isaac SDK.

4. Robotics Simulation & Digital Twins

● Define architectures for robotic simulation environments using NVIDIA Isaac Sim & Omniverse.

● Leverage synthetic data generation (Omniverse Replicator) for training AI models.

● Optimize sim-to-real transfer learning for AI-driven robotic behaviors.

5. Navigation & Motion Planning

● Architect GPU-accelerated motion planning and SLAM pipelines for autonomous robots.

● Optimize path planning, localization, and multi-agent coordination using Isaac ROS Navigation.

● Implement reinforcement learning-based policies using Isaac Gym.

6. Performance Optimization & Scalability

● Ensure low-latency AI inference and real-time execution of robotics applications.

● Optimize CUDA kernels and parallel processing pipelines for NVIDIA hardware.

● Develop benchmarking and profiling tools to measure software performance on edge AI devices.

Required Qualifications:

● Master’s or Ph.D. in Computer Science, Robotics, AI, or Embedded Systems.

● Extensive experience (7+ years) in software development, with at least 3-5 years focused on architecture and system design, especially for robotics or embedded systems.

● Expertise in CUDA, TensorRT, DeepStream, PyTorch, TensorFlow, and ROS2.

● Experience in NVIDIA Jetson platforms, Isaac SDK, and GPU-accelerated AI.

● Proficiency in programming languages such as C++, Python, or similar, with deep understanding of low-level and high-level design principles.

● Strong background in robotic perception, planning, and real-time control.

● Experience with cloud-edge AI deployment and scalable architectures.

Preferred Qualifications

● Hands-on experience with NVIDIA DRIVE, NVIDIA Omniverse, and Isaac Gym

● Knowledge of robot kinematics, control systems, and reinforcement learning

● Expertise in distributed computing, containerization (Docker), and cloud robotics

● Familiarity with automotive, industrial automation, or warehouse robotics

● Experience designing architectures for autonomous systems or multi-robot systems.

● Familiarity with cloud-based solutions, edge computing, or distributed computing for robotics

● Experience with microservices or service-oriented architecture (SOA)

● Knowledge of machine learning and AI integration within robotic systems

● Knowledge of testing on edge devices with HIL and simulations (Isaac Sim, Gazebo, V-REP etc.)

Job Description: Machine Learning Engineer – LLM and Agentic AI

Location: Ahmedabad

Experience: 4+ years

Employment Type: Full-Time

________________________________________

About Us

Join a forward-thinking team at Tecblic, where innovation meets cutting-edge technology. We specialize in delivering AI-driven solutions that empower businesses to thrive in the digital age. If you're passionate about LLMs, machine learning, and pushing the boundaries of Agentic AI, we’d love to have you on board.

________________________________________

Key Responsibilities

• Research and Development: Research, design, and fine-tune machine learning models, with a focus on Large Language Models (LLMs) and Agentic AI systems.

• Model Optimization: Fine-tune and optimize pre-trained LLMs for domain-specific use cases, ensuring scalability and performance.

• Integration: Collaborate with software engineers and product teams to integrate AI models into customer-facing applications and platforms.

• Data Engineering: Perform data preprocessing, pipeline creation, feature engineering, and exploratory data analysis (EDA) to prepare datasets for training and evaluation.

• Production Deployment: Design and implement robust model deployment pipelines, including monitoring and managing model performance in production.

• Experimentation: Prototype innovative solutions leveraging cutting-edge techniques like reinforcement learning, few-shot learning, and generative AI.

• Technical Mentorship: Mentor junior team members on best practices in machine learning and software engineering.

________________________________________

Requirements

Core Technical Skills:

• Proficiency in Python for machine learning and data science tasks.

• Expertise in ML frameworks and libraries like PyTorch, TensorFlow, Hugging Face, Scikit-learn, or similar.

• Solid understanding of Large Language Models (LLMs) such as GPT, T5, BERT, or Bloom, including fine-tuning techniques.

• Experience working on NLP tasks such as text classification, entity recognition, summarization, or question answering.

• Knowledge of deep learning architectures, such as transformers, RNNs, and CNNs.

• Strong skills in data manipulation using tools like Pandas, NumPy, and SQL.

• Familiarity with cloud services like AWS, GCP, or Azure, and experience deploying ML models using tools like Docker, Kubernetes, or serverless functions.

Additional Skills (Good to Have):

• Exposure to Agentic AI (e.g., autonomous agents, decision-making systems) and practical implementation.

• Understanding of MLOps tools (e.g., MLflow, Kubeflow) to streamline workflows and ensure production reliability.

• Experience with generative AI models (GANs, VAEs) and reinforcement learning techniques.

• Hands-on experience in prompt engineering and few-shot/fine-tuned approaches for LLMs.

• Familiarity with vector databases like Pinecone, Weaviate, or FAISS for efficient model retrieval.

• Version control (Git) and familiarity with collaborative development practices.

General Skills:

• Strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability.

• Solid understanding of algorithms and data structures to solve complex ML problems.

• Ability to handle and process large datasets using distributed frameworks like Apache Spark or Dask (optional but useful).

________________________________________

Soft Skills:

• Excellent problem-solving and critical-thinking abilities.

• Strong communication and collaboration skills to work with cross-functional teams.

• Self-motivated, with a continuous learning mindset to keep up with emerging technologies.

Link to apply- https://tally.so/r/w8RpLk

About Us

At GreenStitch, we are on a mission to revolutionise the fashion and textile industry through cutting-edge climate-tech solutions. We are looking for a highly skilled Data Scientist-I with expertise in NLP and Deep Learning to drive innovation in our data-driven applications. This role requires a strong foundation in AI/ML, deep learning, and software engineering to develop impactful solutions aligned with our sustainability and business objectives.

The ideal candidate demonstrates up-to-date expertise in Deep Learning and NLP and applies it to the development, execution, and improvement of applications. This role involves supporting and aligning efforts to meet both customer and business needs.

You will play a key role in building strong relationships with stakeholders, identifying business challenges, and implementing AI-driven solutions. You should be adaptable to competing demands, organisational changes, and new responsibilities while upholding GreenStitch’s mission, values, and ethical standards.

What You’ll Do:

• AI-Powered Applications: Build and deploy AI-driven applications leveraging Generative AI and NLP to enhance user experience and operational efficiency.
• Model Development: Design and implement deep learning models and machine learning pipelines to solve complex business challenges.
• Cross-Functional Collaboration: Work closely with product managers, engineers, and business teams to identify AI/ML opportunities.
• Innovation & Experimentation: Stay up-to-date with the latest AI/ML advancements, rapidly prototype solutions, and iterate on ideas for continuous improvement.
• Scalability & Optimisation: Optimise AI models for performance, scalability, and real-world impact, ensuring production readiness.
• Knowledge Sharing & Thought Leadership: Contribute to publications, patents, and technical forums; represent GreenStitch in industry and academic discussions.
• Compliance & Ethics: Model compliance with company policies and ensure AI solutions align with ethical standards and sustainability goals.
• Communication: Translate complex AI/ML concepts into clear, actionable insights for business stakeholders.

What You’ll Bring:

• Education: Bachelors/Master’s degree in Data Science, Computer Science, AI, or a related field.
• Experience: 1-3 years of hands-on experience in AI/ML, NLP, and Deep Learning.
• Technical Expertise: Strong knowledge of transformer-based models (GPT, BERT, etc.), deep learning frameworks (TensorFlow, PyTorch), and cloud platforms (Azure, AWS, GCP).
• Software Development: Experience in Python, Java, or similar languages, and familiarity with MLOps tools.
• Problem-Solving: Ability to apply AI/ML techniques to real-world challenges with a data-driven approach.
• Growth Mindset: Passion for continuous learning and innovation in AI and climate-tech applications.
• Collaboration & Communication: Strong ability to work with cross-functional teams, communicate complex ideas, and drive AI adoption.

Why GreenStitch?

GreenStitch is at the forefront of climate-tech innovation, helping businesses in the fashion and textile industry reduce their environmental footprint. By joining us, you will:

• Work on high-impact AI projects that contribute to sustainability and decarbonisation.
• Be part of a dynamic and collaborative team committed to making a difference.
• Enjoy a flexible, hybrid work model that supports professional growth and work-life balance.
• Receive competitive compensation and benefits, including healthcare, parental leave, and learning opportunities.

Location: Bangalore(India)

Employment Type: Full Time, Permanent

Industry Type: Climate-Tech / Fashion-Tech

Department: Data Science & Machine Learning

Join us in shaping the future of sustainable fashion with cutting-edge AI solutions! 🚀

We’re Building the Future of Immigration Tech

We are developing a high-performance, AI-driven immigration platform that automates visa assessments and guidance for high-skilled immigrants. Our focus is on speed, accuracy, and scalability—not a flashy UI, but a powerful decision-making engine that delivers real value.

We need top-tier engineers who build for performance over aesthetics. If you love AI, automation, and disrupting old systems, this is for you.

🛠 Open Roles

1️⃣ AI/ML Engineer (Visa Assessment AI)

• Develop a cutting-edge AI model for visa eligibility assessments.
• Use NLP to process immigration laws, policies, and case precedents.
• Optimize for accuracy, efficiency, and scale (real-time processing).

2️⃣ Full-Stack Developer (Lean & Scalable Web App)

• Build a high-performance, no-frills web app (React/Next.js preferred).
• Integrate the AI model seamlessly into a secure and scalable backend (Python/Django or Node.js).
• Implement fast data retrieval for applicant evaluations.

🔍 Who We’re Looking For

✔ AI/ML Engineer: Strong experience in NLP, AI automation, and structured data processing. Experience with TensorFlow/PyTorch/OpenAI APIs is a plus.

✔ Full-Stack Developer: Expertise in React (Next.js preferred), Python/Django, or Node.js. Must prioritize performance & security.

✔ Both: You’re a problem-solver, performance-obsessed, and thrive in lean environments.

💻 Tech Stack (Recommended, Open to Suggestions)

• AI/ML: Python (FastAPI, TensorFlow, OpenAI APIs, Hugging Face NLP)
• Frontend: React, Next.js (for speed & SEO)
• Backend: Python/Django or Node.js (for performance & scalability)
• Database: PostgreSQL or Firebase

We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus.

Analyze and process large datasets using Python and Pandas.

Develop and optimize machine learning models for predictive analytics.

Create data visualizations using Matplotlib and Seaborn to support decision-making.

Perform data cleaning, feature engineering, and statistical analysis.

Work with structured and unstructured data to extract meaningful insights.

Implement and fine-tune NER models for specific use cases (if required).

Collaborate with cross-functional teams to drive data-driven solutions.

Required Skills & Qualifications:

Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.).

Experience in data analysis, statistical modeling, and machine learning.

Hands-on expertise in data visualization using Matplotlib and Seaborn.

Understanding of SQL and database querying.

Familiarity with NLP techniques and NER models is a plus.

Strong problem-solving and analytical skills.

Category: Software Development

Type: Internship (Remote)

Location: Remote (India)

Time Zone: GMT+05:30 (Asia/Kolkata)

Experience Range: 2 - 4 years (preferred)

Salary: ₹0L - ₹20L per year (based on skills & experience)

ESOPs Available: Yes

Job Description:

The Standard School of Machine Learning (TheSSML) is seeking a Generative AI Intern to work on cutting-edge AI research, model development, and applications in generative models. This is an exciting opportunity to gain hands-on experience in AI-driven content creation, large language models (LLMs), and deep learning-based image/video generation.

Key Responsibilities:

• Research and develop Generative AI models (GANs, VAEs, LLMs, Stable Diffusion).
• Fine-tune large language models (LLMs) for text generation and automation.
• Work on AI-based image, video, and audio generation using deep learning techniques.
• Optimize AI models for performance, scalability, and real-world applications.
• Collaborate with researchers and engineers to improve AI-based creative tools.
• Experiment with prompt engineering and prompt tuning for LLMs.
• Work with Google Vertex AI, AWS, or Azure AI to deploy models.

Must-Have Skills:

• Python, TensorFlow, PyTorch
• Machine Learning & Deep Learning (GANs, VAEs, Transformers)
• NLP & LLMs (GPT, BERT, Stable Diffusion, DALL·E)
• Data Preprocessing & Model Optimization
• Prompt Engineering & AI Content Creation

Good-to-Have Skills:

• Experience with MLOps and AI model deployment
• Knowledge of computer vision and multimodal AI models
• Familiarity with vector databases & retrieval-augmented generation (RAG)

Why Join Us?

• Work on real-world AI projects in a fast-paced research environment.
• Mentorship from industry experts in AI/ML.
• Opportunity to transition into a full-time role based on performance.

Job Title: AI/ML Engineer (GenAI & System Modernization)

Experience: 4 to 8 years

Work Mode: Hybrid

Location: Bangalore

Job Overview:

We are seeking AI engineers passionate about Generative AI and AI-assisted modernization to build cutting-edge solutions. The candidate will work on in-house GenAI applications, support AI adoption across the organization, collaborate with vendors for POCs, and contribute to legacy system modernization using AI-driven automation.

Key Responsibilities:

• Design & develop in-house GenAI applications for internal use cases.
• Collaborate with vendors to evaluate and implement POCs for complex AI solutions.
• Work on AI-powered tools for SDLC modernization and code migration (legacy to modern tech).
• Provide technical support, training, and AI adoption strategies for internal users & teams.
• Assist in integrating AI solutions into software development processes.

Must Have:

• Bachelor’s / Master’s degree in Computer Science / Computer Engineering / Computer Applications / Information Technology OR AI/ML-related field.
• Relevant certification in AI/ML is an added advantage.
• Minimum of 2 successful AI/ML POCs or production deployments.
• Prior experience in AI-powered automation, AI-based DevOps, or AI-assisted coding.
• Proven track record of teamwork and successful project delivery.
• Strong analytical and problem-solving skills with a continuous learning mindset.
• A positive, can-do attitude with attention to detail.

AI/ML Expertise:

• Strong hands-on Python programming experience.
• Experience with Generative AI models and LLMs/SLMs (worked on real projects or POCs).
• Hands-on experience in Machine Learning & Deep Learning.
• Experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
• Understanding of MLOps pipelines and AI model deployment.

System Modernization & Enterprise Tech Familiarity:

• Basic understanding of Java, Spring, React, Kotlin, and Groovy.
• Experience and willingness to work on AI-driven migration projects (e.g., PL/SQL to Emery, JS to Groovy DSL).
• Experience with code quality, AI-assisted code refactoring, and testing frameworks.

Enterprise Integration & AI Adoption:

• Ability to integrate AI solutions into enterprise workflows.
• Experience with API development & AI model integration in applications.
• Familiarity with version control & collaboration tools (Git, CI/CD pipelines).

About Data Axle:

Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 50 years in the USA. Data Axle now as an established strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business & consumer databases.

Data Axle Pune is pleased to have achieved certification as a Great Place to Work!

Roles & Responsibilities:

We are looking for a Senior Data Scientist to join the Data Science Client Services team to continue our success of identifying high quality target audiences that generate profitable marketing return for our clients. We are looking for experienced data science, machine learning and MLOps practitioners to design, build and deploy impactful predictive marketing solutions that serve a wide range of verticals and clients. The right candidate will enjoy contributing to and learning from a highly talented team and working on a variety of projects.

We are looking for a Senior Data Scientist who will be responsible for:

1. Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture
2. Design or enhance ML workflows for data ingestion, model design, model inference and scoring
3. Oversight on team project execution and delivery
4. Establish peer review guidelines for high quality coding to help develop junior team members’ skill set growth, cross-training, and team efficiencies
5. Visualize and publish model performance results and insights to internal and external audiences

Qualifications:

1. Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering)
2. Minimum of 5 years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure (Databricks is highly preferred)
3. Proven ability to manage the output of a small team in a fast-paced environment and to lead by example in the fulfilment of client requests
4. Exhibit deep knowledge of core mathematical principles relating to data science and machine learning (ML Theory + Best Practices, Feature Engineering and Selection, Supervised and Unsupervised ML, A/B Testing, etc.)
5. Proficiency in Python and SQL required; PySpark/Spark experience a plus
6. Ability to conduct a productive peer review and proper code structure in Github
7. Proven experience developing, testing, and deploying various ML algorithms (neural networks, XGBoost, Bayes, and the like)
8. Working knowledge of modern CI/CD methods This position description is intended to describe the duties most frequently performed by an individual in this position.

It is not intended to be a complete list of assigned duties but to describe a position level.

Job Description :

This is an exciting opportunity for an experienced industry professional with strong expertise in artificial intelligence and machine learning to join and add value to a dedicated and friendly team. We are looking for an AIML Engineer who is passionate about developing AI-driven technology solutions. As a core member of the Development Team, the candidate will take ownership of AI/ML projects by working independently with little supervision.

The ideal candidate is a highly resourceful and skilled professional with experience in applying AI to practical and comprehensive technology solutions. You must also possess expertise in machine learning, deep learning, TensorFlow, Python, and NLP, along with a strong understanding of algorithms, functional design principles, and best practices.

You will be responsible for leading AI/ML initiatives, ensuring scalable and optimized solutions, and integrating AI capabilities into applications. Additionally, you will work on REST API development, NoSQL database design, and RDBMS optimizations.

Key Responsibilities :

- Develop and implement AI/ML models to solve real-world problems.

- Utilize machine learning, deep learning, TensorFlow, and NLP techniques.

- Lead AI-driven projects with program leadership, governance, and change enablement.

- Apply best practices in algorithm development, object-oriented and functional design principles.

- Design and optimize NoSQL and RDBMS databases for AI applications.

- Develop and integrate AI-powered REST APIs for seamless application functionality.

- Collaborate with cross-functional teams to deliver AI-driven solutions.

- Stay updated with the latest advancements in AI and ML technologies.

Required Qualifications :

- Qualification: Bachelor's or Master's degree in Computer Science or a related field.

- Minimum 2 years of experience in AI/ML application development.

- Strong expertise in machine learning, deep learning, TensorFlow, Python, and NLP.

- Experience in program leadership, governance, and change enablement.

- Knowledge of basic algorithms, object-oriented and functional design principles.

- Experience in REST API development, NoSQL database design, and RDBMS optimization.

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills.

Location: Patna, Bihar

Why make a career at Plus91:

At Plus91, we believe we make a better world together. We value the diversity, creativity, and experience of our people. And it's your ideas that help us improve our products and customer experiences and create value for the world of healthcare.

We help our people become better professionals, as well as human beings. We are a hands-on company, and our team is all about getting things done. We nurture experiential learning. Bring passion and dedication to your job, and there's no telling what you can accomplish at Plus91.

We are always on the lookout for bright and innovative people to help us reach our business goals and your personal goals. If this role with us fits your career goals and you think you can fit into our hands-on and go-getting culture, do apply.

We are looking for a skilled AI/ML Engineer to join our team and help revolutionize the accounting and GST automation industry. If you are passionate about machine learning, data processing, and building intelligent automation solutions, this is the role for you!

📌 Job Responsibilities:

• Develop and deploy AI/ML models for data processing and automation.
• Work on OCR-based document processing and intelligent data extraction.
• Optimize machine learning algorithms for accuracy and performance.
• Collaborate with product and development teams to integrate AI solutions.
• Research and implement cutting-edge AI/ML techniques.

🛠 Skills Required:

• Strong experience in Python, TensorFlow, PyTorch, OpenCV
• Expertise in Machine Learning, Deep Learning, and NLP
• Hands-on experience with OCR tools like Tesseract, AWS Textract, or Google Vision API
• Knowledge of data preprocessing, model training, and deployment
• Familiarity with big data processing (Spark, Hadoop) is a plus

Job Role: Machine Learning & AI Developer

Skills: Data Science, Deep Learning, ML & Generative AI,

Job Description:

We are looking for a highly skilled and experienced ML& AI Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential.

Key Responsibilities

• Develop and maintain web applications using Django and Flask frameworks.
• Design and implement RESTful APIs using Django Rest Framework (DRF)
• Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation.
• Build and integrate APIs for AI/ML models into existing systems.
• Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn.
• Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases.
• Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization.
• Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker.
• Ensure the scalability, performance, and reliability of applications and deployed models.
• Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions.
• Write clean, maintainable, and efficient code following best practices.
• Conduct code reviews and provide constructive feedback to peers.
• Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML.

Required Skills and Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of professional experience as a Python Developer.
• Proficient in Python with a strong understanding of its ecosystem.
• Extensive experience with Django and Flask frameworks.
• Hands-on experience with AWS services for application deployment and management.
• Strong knowledge of Django Rest Framework (DRF) for building APIs.
• Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.
• Experience with transformer architectures for NLP and advanced AI solutions.
• Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Familiarity with MLOps practices for managing the machine learning lifecycle.
• Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Level of skills and experience:

5 years of hands-on experience in using Python, Spark,Sql.

Experienced in AWS Cloud usage and management.

Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).

Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.

Experience with orchestrators such as Airflow and Kubeflow.

Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).

Fundamental understanding of Parquet, Delta Lake and other data file formats.

Proficiency on an IaC tool such as Terraform, CDK or CloudFormation.

Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst

We're looking for AI/ML enthusiasts who build, not just study. If you've implemented transformers from scratch, fine-tuned LLMs, or created innovative ML solutions, we want to see your work!

Make Sure before Applying (GitHub Profile Required):

1. Your GitHub must include:

- At least one substantial ML/DL project with documented results

- Code demonstrating PyTorch/TensorFlow implementation skills

- Clear documentation and experiment tracking

- Bonus: Contributions to ML open-source projects

2. Pin your best projects that showcase:

- LLM fine-tuning and evaluation

- Data preprocessing pipelines

- Model training and optimization

- Practical applications of AI/ML

Technical Requirements:

- Solid understanding of deep learning fundamentals

- Python + PyTorch/TensorFlow expertise

- Experience with Hugging Face transformers

- Hands-on with large dataset processing

- NLP/Computer Vision project experience

Education:

- Completed/Pursuing Bachelor's in Computer Science or related field

- Strong foundation in ML theory and practice

Apply if:

1. You have done projects using GenAI, Machine Learning, Deep Learning.
2. You must have strong Python coding experience.
3. Someone who is available immediately to start with us in the office(Hyderabad).
4. Someone who has the hunger to learn something new always and aims to step up at a high pace.

We value quality implementations and thorough documentation over quantity. Show us how you think through problems and implement solutions!

Role: Data Scientist

Location: Bangalore (Remote)

Experience: 3+ years

Skills Required - Radiology, visual images, text, classical model, LLM multi model

JOB DESCRIPTION

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

Job Title : Sr. Data Scientist

Experience : 5+ Years

Location : Noida (Hybrid – 3 Days in Office)

Shift Timing : 2 PM to 11 PM

Availability : Immediate

Job Description :

We are seeking a Senior Data Scientist to develop and implement machine learning models, predictive analytics, and data-driven solutions.

The role involves data analysis, dashboard development (Looker Studio), NLP, Generative AI (LLMs, Prompt Engineering), and statistical modeling.

Strong expertise in Python (Pandas, NumPy), Cloud Data Science (AWS SageMaker, Azure OpenAI), Agile (Jira, Confluence), and stakeholder collaboration is essential.

Mandatory skills : Machine Learning, Cloud Data Science (AWS SageMaker, Azure OpenAI), Python (Pandas, NumPy), Data Visualization (Looker Studio), NLP & Generative AI (LLMs, Prompt Engineering), Statistical Modeling, Agile (Jira, Confluence), and strong stakeholder communication.

About the Role:

We're seeking a highly motivated and experienced Senior Software Engineer to join our team and drive the development of cutting-edge robotics features. You will play a crucial role in tackling challenging problems, designing efficient solutions, and implementing them with high-quality code. This role offers the opportunity to make a significant impact on our robotics platform and work with a team of passionate engineers.

Responsibilities:

• Design, develop, test, and deploy robust and reliable software for our robotics platform.
• Own features end-to-end, from initial technical analysis and solution design to implementation, testing, and deployment.
• Collaborate effectively with cross-functional teams to deliver integrated solutions.
• Maintain a strong focus on software quality, testing, and continuous improvement.
• Contribute to the overall architecture and design of our robotics software.
• Troubleshoot and resolve complex technical issues.

Qualifications:

• 7+ years of experience shipping production software.
• Strong programming skills in Python and C++.
• Solid understanding of algorithms and data structures.
• Proven ability to own a feature from conception to production, including technical analysis, solutioning, development, and testing.
• A methodical approach to development with a strong emphasis on testing, quality, and ownership.
• Bachelor's degree in Computer Science, Electrical Engineering, or a related field.

Bonus Points:

• Experience leading the end-to-end delivery of complex features, from conception to production and support.
• In-depth understanding of the Robot Operating System (ROS).
• Expertise with Linux-based systems, driver development, and working with hardware peripherals.
• Experience with Computer Vision or Machine Learning.
• Master's degree or Ph.D. in a relevant field.

position: Data Scientist

Job Category: Embedded HW_SW

Job Type: Full Time

Job Location: Pune

Experience: 3 - 5 years

Notice period: 0-30 days

Must have skills: Python, Linux-Ubuntu based OS, cloud-based platforms

Education Required: Bachelor’s / Masters / PhD:

Bachelor’s or master’s in computer science, Statistics, Mathematics, Data Science, Engineering

Bachelors with 5 years or Masters with 3 years

Mandatory Skills

• Bachelor’s or master’s in computer science, Statistics, Mathematics, Data Science, Engineering, or related field
• 3-5 years of experience as a data scientist, with a strong foundation in machine learning fundamentals (e.g., supervised and unsupervised learning, neural networks)
• Experience with Python programming language (including libraries such as NumPy, pandas, scikit-learn) is essential
• Deep hands-on experience building computer vision and anomaly detection systems involving algorithm development in fields such as image-segmentation
• Some experience with open-source OCR models
• Proficiency in working with large datasets and experience with feature engineering techniques is a plus

Key Responsibilities

• Work closely with the AI team to help build complex algorithms that provide unique insights into our data using images.
• Use agile software development processes to make iterative improvements to our back-end systems.
• Stay up to date with the latest developments in machine learning and data science, exploring new techniques and tools to apply within Customer’s business context.

Optional Skills

• Experience working with cloud-based platforms (e.g., Azure, AWS, GCP)
• Knowledge of computer vision techniques and experience with libraries like OpenCV
• Excellent Communication skills, especially for explaining technical concepts to nontechnical business leaders.
• Ability to work on a dynamic, research-oriented team that has concurrent projects.
• Working knowledge of Git/version control.
• Expertise in PyTorch, Tensor Flow, Keras.
• Excellent coding skills, especially in Python.
• Experience with Linux-Ubuntu based OS

 Senior Robotics Software Engineer

Experience - 7 to 12 years

Location :Banglore

Work mode: work from office on all 5 days

Who we are looking for

A Senior Software Engineer with experience in Robotics or Computer Vision / Machine Learning. This person should have the ability to and experience in tackling hard problems, strong programming ability to efficiently implement them, and drive the delivery of Robotics features.

What you need to make the cut

● 7+years experience in shipping production software

● Fluent with Python and C++. Good understanding of Algorithms and Data Structures.

● Ability to own a feature end-to-end. From technical analysis, solutioning, development, and testing, working with other dependent teams.

● Enjoys being methodical rather than experimental. Strong focus on testing, quality and ownership.

● Bachelor’s degree in computer science / electronics engineering or equivalent

How can you standout?

● Have lead a complex feature delivery end-to-end, from conception to production and support

● In depth understanding of ROS (Robotic Operating System)

● Expertise with Linux based systems, driver development and working with hardware peripherals

What we offer

● The opportunity to work with a cutting edge Robotics startup.

● A work place with no-nonsense, hardcore problem solving approach to engineering

● Work with (and learn from) several disciplines- electronics, mechanical, software, assembly, production, agronomy, annotation, operations

● A culture of openness where a lot of focus is laid on professional development and growth

● A great office space at Indiranagar with a location that cannot get more prime If you think we could use your super-powers as we attempt to create our mark, we’d love to hear from you.

Day-to-day responsibilities include:

1. Working on supervised and unsupervised learning algorithms

2. Developing deep learning and machine learning algorithms

3. Working on live projects on data analytics