50+ Data Science Jobs in India

● 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).

Real-World Evidence (RWE) Analyst

Summary:

As an experienced Real-World Evidence (RWE) Analyst, you will leverage our cutting-edge healthcare data platform (accessing over 60 million lives in Asia, with ambitious growth plans across Africa and the Middle East) to deliver impactful clinical insights to our pharmaceutical clients. You will be involved in the full project lifecycle, from designing analyses to execution and delivery, within our agile data science team. This is an exciting opportunity to contribute significantly to a growing early-stage company focused on improving precision medicine and optimizing patient care for diverse populations.

Responsibilities:

·      Contribute to the design and execution of retrospective and prospective real-world research, including epidemiological and patient outcomes studies.

·      Actively participate in problem-solving discussions by clearly defining issues and proposing effective solutions.

·      Manage the day-to-day progress of assigned workstreams, ensuring seamless collaboration with the data engineering team on analytical requests.

·      Provide timely and clear updates on project status to management and leadership.

·      Conduct in-depth quantitative and qualitative analyses, driven by project objectives and your intellectual curiosity.

·      Ensure the quality and accuracy of analytical outputs, and contextualize findings by reviewing relevant published research.

·      Synthesize complex findings into clear and compelling presentations and written reports (e.g., slides, documents).

·      Contribute to the development of standards and best practices for future RWE analyses.

Requirements:

·      Undergraduate or post-graduate degree (MS or PhD preferred) in a quantitative analytical discipline such as Epidemiology, (Bio)statistics, Data Science, Engineering, Econometrics, or Operations Research.

·      8+ years of relevant work experience demonstrating:

o  Strong analytical and problem-solving capabilities.

o  Experience conducting research relevant to the pharmaceutical/biotech industry.

·      Proficiency in technical skills including SQL and at least one programming language (R, Python, or similar).

·      Solid understanding of the healthcare/medical and pharmaceutical industries.

·      Proven experience in managing workstream or project management activities.

·      Excellent written and verbal communication, and strong interpersonal skills with the ability to build collaborative partnerships.

·      Exceptional attention to detail.

·      Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).

Other Desirable Skills:

·      Demonstrated dedication to teamwork and the ability to collaborate effectively across different functions.

·      A strong desire to contribute to the growth and development of the RWE analytics function.

·      A proactive and innovative mindset with an entrepreneurial spirit, eager to take on a key role in a dynamic, growing company.

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.

Position Overview: We are looking for an experienced and highly skilled Data Architect to join our team and help design, implement, and optimize data systems that support high-end analytical solutions for our clients. As a Data Architect, you will work closely with clients to understand their business needs and translate them into robust, scalable, and efficient technical solutions. You will be responsible for end-to-end data modelling, integration workflows, and data transformation processes while ensuring security, privacy, and compliance.In this role, you will also leverage the latest advancements in artificial intelligence, machine learning, and large language models (LLMs) to deliver high-impact solutions that drive business success. The ideal candidate will have a deep understanding of data infrastructure, optimization techniques, and cost-effective data management

Key Responsibilities:

Customer Collaboration:

• Partner with clients to gather and understand their business

requirements, translating them into actionable technical specifications.

• Act as the primary technical consultant to guide clients through data challenges and deliver tailored solutions that drive value.
• 
  

Data Modeling & Integration:

• Design and implement scalable, efficient, and optimized data models to support business operations and analytical needs.
• Develop and maintain data integration workflows to seamlessly extract, transform, and load (ETL) data from various sources into data repositories.
• Ensure smooth integration between multiple data sources and platforms, including cloud and on-premise systems
• 
  

Data Processing & Optimization:

• Develop, optimize, and manage data processing pipelines to enable real-time and batch data processing at scale.
• Continuously evaluate and improve data processing performance, optimizing for throughput while minimizing infrastructure costs.
• 
  

Data Governance & Security:

• Implement and enforce data governance policies and best practices, ensuring data security, privacy, and compliance with relevant industry regulations (e.g., GDPR, HIPAA).
• Collaborate with security teams to safeguard sensitive data and maintain privacy controls across data environments.
• 
  

Cross-Functional Collaboration:

• Work closely with data engineers, data scientists, and business

analysts to ensure that the data architecture aligns with organizational objectives and delivers actionable insights.

• Foster collaboration across teams to streamline data workflows and optimize solution delivery.
• 
  

Leveraging Advanced Technologies:

• Utilize AI, machine learning models, and large language models (LLMs) to automate processes, accelerate delivery, and provide
• smart, data-driven solutions to business challenges.
• Identify opportunities to apply cutting-edge technologies to improve the efficiency, speed, and quality of data processing and analytics.
• 
  

Cost Optimization:

• Proactively manage infrastructure and cloud resources to optimize throughput while minimizing operational costs.
• Make data-driven recommendations to reduce infrastructure overhead and increase efficiency without sacrificing performance.
• 
  

Qualifications:

Experience:

• Proven experience (5+ years) as a Data Architect or similar role, designing and implementing data solutions at scale.
• Strong expertise in data modelling, data integration (ETL), and data transformation processes.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).
• 
  

Technical Skills:

• Advanced proficiency in SQL, data modelling tools (e.g., Erwin,PowerDesigner), and data integration frameworks (e.g., Apache
• NiFi, Talend).
• Strong understanding of data security protocols, privacy regulations, and compliance requirements.
• Experience with data storage solutions (e.g., data lakes, data warehouses, NoSQL, relational databases).
• 
  

AI & Machine Learning Exposure:

• Familiarity with leveraging AI and machine learning technologies (e.g., TensorFlow, PyTorch, scikit-learn) to optimize data processing and analytical tasks.
• Ability to apply advanced algorithms and automation techniques to improve business processes.
• 
  

 Soft Skills:

• Excellent communication skills to collaborate with clients, stakeholders, and cross-functional teams.
• Strong problem-solving ability with a customer-centric approach to solution design.
• Ability to translate complex technical concepts into clear, understandable terms for non-technical audiences.
• 
  

Education:

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field (or equivalent practical experience).

LIFE AT FOUNTANE:

• Fountane offers an environment where all members are supported, challenged, recognized & given opportunities to grow to their fullest potential.
• Competitive pay
• Health insurance for spouses, kids, and parents.
• PF/ESI or equivalent
• Individual/team bonuses
• Employee stock ownership plan
• Fun/challenging variety of projects/industries
• Flexible workplace policy - remote/physical
• Flat organization - no micromanagement
• Individual contribution - set your deadlines
• Above all - culture that helps you grow exponentially!

A LITTLE BIT ABOUT THE COMPANY:

Established in 2017, Fountane Inc is a Ventures Lab incubating and investing in new competitive technology businesses from scratch. Thus far, we’ve created half a dozen multi-million valuation companies in the US and a handful of sister ventures for large corporations, including Target, US Ventures, and Imprint Engine.

We’re a team of 120+ strong from around the world that are radically open-minded and believes in excellence, respecting one another, and pushing our boundaries to the furthest it's ever been.

We are seeking a highly skilled and experienced Senior Data Scientist to join our growing data science team. In this role, you will lead complex data analysis projects, develop advanced machine learning models, and provide actionable insights that drive strategic business decisions. You will mentor junior data scientists and collaborate with cross-functional teams to solve challenging problems and improve our products and services.

Responsibilities:

• Lead and execute end-to-end data science projects: From problem definition and data collection to model development, evaluation, and deployment.
• Develop and implement advanced machine learning models: Including but not limited to regression, classification, clustering, deep learning, and natural language processing.
• Perform complex data analysis and statistical modeling: To identify trends, patterns, and insights from large datasets.
• Design and implement data pipelines and ETL processes: To ensure data quality and accessibility.
• Communicate findings and recommendations effectively: Through visualizations, reports, and presentations to both technical and non-technical audiences.
• Collaborate with cross-functional teams: Including product managers, engineers, and business stakeholders, to define project goals and deliver impactful solutions.
• Mentor and guide junior data scientists: Providing technical expertise and fostering a collaborative learning environment.
• Stay up-to-date with the latest advancements in data science and machine learning: And apply new techniques and technologies to improve our data science capabilities.
• Contribute to the development of best practices and standards: For data science methodologies and tools.
• Evaluate and improve existing models and algorithms: to maximize performance and accuracy.

We are seeking a talented and passionate Data Scientist to join our dynamic team. The ideal candidate will leverage their expertise in statistical analysis, machine learning, and data visualization to extract actionable insights from complex datasets. You will play a key role in developing and deploying predictive models, contributing to strategic business decisions, and driving innovation through data.

Responsibilities:

• Data Analysis and Exploration:
• Collect, clean, and preprocess large datasets from various sources.
• Conduct exploratory data analysis to identify patterns, trends, and anomalies.
• Visualize data using appropriate tools and techniques to communicate findings effectively.
• Machine Learning and Modeling:
• Develop and implement machine learning models for predictive analytics, classification, regression, and clustering.
• Evaluate model performance and optimize algorithms for accuracy and efficiency.
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
• Statistical Analysis:
• Perform statistical hypothesis testing and A/B testing to validate findings.
• Apply statistical methods to analyze data and draw meaningful conclusions.
• Develop statistical models to forecast future trends and outcomes.
• Data Visualization and Reporting:
• Create compelling visualizations and dashboards to present data insights to stakeholders.
• Prepare clear and concise reports summarizing findings and recommendations.
• Effectively communicate complex data concepts to non-technical audiences.
• Collaboration and Communication:
• Collaborate with cross-functional teams, including engineers, product managers, and business analysts.
• Present findings and recommendations to stakeholders at all levels of the organization.
• Contribute to the development of data-driven strategies and initiatives.

We are seeking a talented and passionate Data Scientist to join our dynamic team. The ideal candidate will leverage advanced statistical and machine learning techniques to extract actionable insights from complex datasets, driving strategic business decisions and product development. You will work closely with cross-functional teams, including engineers, product managers, and business stakeholders, to solve challenging problems and contribute to our data-driven culture.

Responsibilities:

• Data Analysis & Modeling:
• Develop and implement advanced statistical models, machine learning algorithms, and deep learning techniques to solve complex business problems.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies in large datasets.
• Build and evaluate predictive models for forecasting, classification, and regression tasks.
• Utilize statistical hypothesis testing and A/B testing to validate hypotheses and measure the impact of changes.
• Data Engineering & Management:
• Collaborate with data engineers to ensure data quality, integrity, and accessibility.
• Extract, transform, and load (ETL) data from various sources into usable formats.
• Develop and maintain data pipelines for efficient data processing and analysis.
• Work with large datasets and distributed computing frameworks (e.g., Spark, Hadoop).
• Communication & Visualization:
• Communicate complex data insights and findings to technical and non-technical audiences through clear visualizations and reports.

Key Responsibilities:

• Data Collection and Preparation:
• Gathering data from various sources (databases, APIs, files).
• Cleaning and preprocessing data (handling missing values, outliers, inconsistencies).
• Transforming data into a suitable format for analysis.
• Data Analysis:
• Performing exploratory data analysis (EDA) to identify patterns and trends.
• Applying statistical techniques and machine learning algorithms.
• Creating data visualizations (charts, graphs) to communicate findings.
• Model Development and Evaluation:
• Assisting in the development and training of machine learning models.
• Evaluating model performance using appropriate metrics.
• Contributing to model tuning and optimization.

We are looking for a motivated Junior Data Scientist to join our data science team. The ideal candidate will have a passion for analyzing data, building predictive models, and extracting actionable insights to solve business challenges. You will work with senior data scientists and cross-functional teams to develop data-driven solutions and contribute to the organization’s decision-making processes.

Key Responsibilities:

• Assist in data collection, cleaning, and preprocessing to ensure high-quality datasets for analysis.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in large datasets.
• Develop and implement machine learning models to solve business problems, such as classification, regression, or clustering tasks.
• Collaborate with senior data scientists to design experiments, evaluate models, and refine predictive algorithms.
• Conduct statistical analysis and hypothesis testing to validate model assumptions and results.
• Visualize and communicate insights from data analysis in a clear and actionable manner using data visualization tools (e.g., Matplotlib, Tableau, Power BI).
• Support the team in deploying machine learning models into production and maintaining them.
• Stay up-to-date with the latest data science trends, tools, and techniques to contribute to continuous improvement.

Key Responsibilities:

• Collect, clean, and preprocess structured and unstructured data for analysis.
• Develop predictive models and machine learning algorithms to solve business problems.
• Use statistical and analytical techniques to extract insights and trends from large datasets.
• Work with engineering teams to deploy machine learning models into production.
• Design and implement A/B tests to measure the impact of changes and improvements.
• Create data visualizations and reports to communicate insights to stakeholders.
• Collaborate with product, marketing, and operations teams to drive data-driven strategies.
• Stay up to date with the latest advancements in data science and machine learning.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Experience with programming languages such as Python, R, or SQL.
• Proficiency in machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Experience with cloud platforms like AWS, GCP, or Azure is a plus.
• Understanding of big data technologies (e.g., Spark, Hadoop) is a bonus.

Data Collection and Preprocessing:

• Gather and clean data from various sources (e.g., databases, APIs, web scraping).
• Perform data validation and ensure data quality.
• Transform and prepare data for analysis and modeling.

Data Analysis and Modeling:

• Conduct exploratory data analysis (EDA) to identify patterns and trends.
• Develop and implement machine learning models (e.g., regression, classification, clustering).
• Evaluate model performance and optimize for accuracy and efficiency.
• Apply statistical techniques and algorithms to solve business problems.

Data Visualization and Reporting:

• Create compelling visualizations to communicate insights to stakeholders.
• Develop dashboards and reports to track key performance indicators (KPIs).
• Present findings to technical and non-technical audiences.

Core Responsibilities:

• Data Collection and Preprocessing:
• Gathering data from various sources (databases, APIs, web scraping, etc.).
• Cleaning and transforming raw data into a usable format.
• Handling missing values, outliers, and inconsistencies.
• Exploratory Data Analysis (EDA):
• Analyzing data to identify patterns, trends, and relationships.
• Using statistical methods and visualization techniques to gain insights.
• Formulating hypotheses and identifying potential areas of investigation.
• Model Development and Implementation:
• Developing machine learning models for prediction, classification, and clustering.
• Selecting appropriate algorithms and techniques based on the problem and data.
• Training, testing, and evaluating model performance.
• Deploying models into production environments.
• Data Visualization and Communication:
• Creating clear and concise visualizations to communicate findings to stakeholders.
• Presenting data-driven insights and recommendations to both technical and non-technical audiences.
• Writing reports and documentation to summarize analysis and results.

Machine Learning and Predictive Modeling:

• Developing and implementing machine learning models for prediction, classification, and clustering.
• Selecting appropriate algorithms and techniques based on the problem and data.
• Evaluating model performance and optimizing for accuracy.

Data Visualization and Communication:

• Creating clear and concise visualizations to communicate insights to stakeholders.
• Presenting findings and recommendations to both technical and non-technical audiences.
• Translating complex data into actionable business strategies.

Collaboration and Problem-Solving:

• Working closely with cross-functional teams to understand business needs.
• Identifying and solving complex business problems using data-driven approaches.
• Staying up-to-date with the latest advancements in data science and machine learning.

Data Analysis and Interpretation:

• Analyze data using statistical methods and tools (e.g., SQL, Python, R).
• Identify trends, patterns, and correlations in complex datasets.
• Perform exploratory data analysis to uncover insights.
• Conduct hypothesis testing and statistical analysis.

Data Visualization and Reporting:

• Create visually appealing and informative reports and dashboards.
• Use data visualization tools (e.g., Tableau, Power BI) to present findings.
• Communicate insights and recommendations to stakeholders in a clear and concise manner.
• Prepare reports for internal or external audiences using business analytics reporting tools containing graphs, charts, and other visual aids.

Data Scientists are analytical experts who use their skills in mathematics, statistics, and computer science to solve complex business problems. They collect, analyze, and interpret large datasets to extract meaningful insights and develop data-driven solutions. Their work helps organizations make informed decisions, improve processes, and gain a competitive edge.

Key Responsibilities:

• Data Collection and Preprocessing:
• Gathering data from various sources (databases, APIs, web scraping, etc.).
• Cleaning and transforming data to ensure quality and consistency.
• Handling missing values, outliers, and inconsistencies.
• Integrating data from multiple sources.
• Data Analysis and Exploration:
• Conducting exploratory data analysis (EDA) to identify patterns, trends, and relationships.
• Applying statistical methods and hypothesis testing to validate findings.
• Visualizing data using charts, graphs, and other tools to communicate insights.
• Model Development and Deployment:
• Developing and implementing machine learning models (e.g., regression, classification, clustering, deep learning).
• Evaluating model performance and fine-tuning parameters.
• Deploying models into production environments.
• Creating and maintaining machine learning pipelines.
• Communication and Collaboration:
• Presenting findings and recommendations to stakeholders in a clear and concise manner.
• Collaborating with cross-functional teams (e.g., engineers, product managers, business analysts).
• Documenting code, models, and processes.
• Translating business requirements into technical implementations.

Data Collection and Preparation:

• Gathering data from various sources, including databases, APIs, and files.
• Cleaning, transforming, and pre-processing data to ensure quality and consistency.
• Developing and maintaining data pipelines.

Data Analysis and Modeling:

• Conducting exploratory data analysis (EDA) to identify patterns and trends.
• Developing and implementing statistical models and machine learning algorithms.
• Evaluating model performance and fine-tuning parameters.

Data Visualization and Communication:

• Creating visualizations (charts, graphs, dashboards) to communicate insights effectively.
• Presenting findings to stakeholders, including non-technical audiences.
• Translating data-driven insights into actionable recommendations.

Problem Solving and Business Understanding:

• Identifying business problems that can be addressed with data analysis.
• Working with stakeholders to define project goals and requirements.
• Applying data science techniques to solve real-world business challenges.

We are seeking an experienced Data Scientist to join our data-driven team. As a Data Scientist, you will work with large datasets, apply advanced analytics techniques, and build machine learning models to provide actionable insights that drive business decisions. You will collaborate with various teams to translate complex data into clear recommendations and innovative solutions.

Key Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategy.
• Develop, implement, and maintain machine learning models and algorithms to solve complex problems.
• Work closely with stakeholders to understand business objectives and translate them into data science tasks.
• Preprocess, clean, and organize raw data from various sources for analysis.
• Conduct statistical analysis and build predictive models to support data-driven decision-making.
• Create data visualizations and reports to communicate findings clearly and effectively to both technical and non-technical teams.
• Design experiments and A/B testing to evaluate business initiatives.
• Ensure the scalability and performance of data pipelines and machine learning models.
• Collaborate with engineering teams to integrate data science solutions into production systems.
• Continuously stay updated with the latest developments in data science, machine learning, and analytics technologies.

Note: We are looking for immediate joiners with 6+ years of experience.

Job Description

UnicornisAI is seeking a Senior Data Scientist with expertise in chatbot development using Retrieval-Augmented Generation (RAG) and OpenAI. This role is ideal for someone with a strong background in machine learning, natural language processing (NLP), and AI model deployment. If you are passionate about developing cutting-edge AI-driven solutions, we’d love to have you on our team.

Key Responsibilities

- Design and develop AI-powered chatbots using Retrieval-Augmented Generation (RAG), OpenAI models (GPT-4, etc.), and vector databases

- Build and fine-tune large language models (LLMs) to improve chatbot performance

- Implement document retrieval and knowledge management systems for chatbot responses

- Optimize NLP pipelines and model performance using state-of-the-art techniques

- Work with structured and unstructured data to enhance chatbot intelligence

- Deploy and maintain AI models in cloud environments such as AWS, Azure, or GCP

- Collaborate with engineering teams to integrate AI solutions into products

- Stay updated with the latest advancements in AI, NLP, and RAG-based architectures

Required Skills & Qualifications

- 6+ years of experience in data science, AI, or a related field

- Strong knowledge of RAG, OpenAI APIs (GPT-4, GPT-3.5, etc.), LLM fine-tuning, and embeddings

- Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks

- Experience with vector databases such as FAISS, Pinecone, or Weaviate

- Expertise in NLP techniques such as Named Entity Recognition (NER), text summarization, and semantic search

- Hands-on experience in building and deploying AI models in production

- Knowledge of cloud platforms like AWS Sagemaker, Azure AI, or Google Vertex AI

- Strong problem-solving and analytical skills

Nice-to-Have Skills

- Experience with MLOps tools for model monitoring and retraining

- Understanding of prompt engineering and LLM chaining techniques

- Exposure to LangChain or similar frameworks for RAG-based chatbots

Location & Work Mode

- Open to remote or hybrid work, based on location

Interested candidates can email their resumes to Sachin at unicornisai.com

As a B2B Marketer, you will handle marketing efforts for brand awareness. As well as, lead generation, web site development and content curation/creation, and sales collateral.

Roles and Responsibilities

• Design content marketing strategies and set short-term goals.
• Online and offline marketing: hands-on experience with digital media, including SEM, display, social, email, and affiliate channels.
• Experience working with a sales team in both Sales Enablement and Account-Based Approach.
• Knowledge of Demand Generation tactics and Lead Conversion principles.
• Understanding of A/B and multivariate testing, user segmentation, and reporting processes.
• Ability to create value propositions that communicate clearly to targeted audiences.
• Extensive experience creating audience segments and developing marketing campaigns that deliver a targeted message and create affinity with brands.
• Accomplished at leveraging full value from marketing automation processes and tools.

Requirements

• Degree in Marketing or relevant field.
• 3+ years of hands-on marketing experience in a B2B role.
• Excellent understanding of B2B marketing.
• Demonstrated ability to manage the budgeting process and use of analytical skills.
• Proven track record in delivering marketing campaigns that drive sales growth.
• Ability to remotely create and manage marketing strategies.
• An understanding of agile marketing, to identify and focus on high-value projects and then continuously and incrementally improve the results over time.
• Excellent communication skills.

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.

• Data Scientist with 4+ yrs of experience
• Good working experience in Computer vision and ML engineering
• Strong knowledge of statistical modeling, hypothesis testing, and regression analysis
• Should be developing APIs
• Proficiency in Python, SQL
• Should have Azure knowledge
• Basic knowledge of NLP
• Analytical thinking and problem-solving abilities
• Excellent communication, Strong collaboration skills
• Should be able to work independently
• Attention to detail and commitment to high-quality results
• Adaptability to fast-paced, dynamic environments

About the company

DCB Bank is a new generation private sector bank with 442 branches across India.It is a scheduled commercial bank regulated by the Reserve Bank of India. DCB Bank’s business segments are Retail banking, Micro SME, SME, mid-Corporate, Agriculture, Government, Public Sector, Indian Banks, Co-operative Banks and Non-Banking Finance Companies.

Job Description

Department: Risk Analytics

CTC: Max 18 Lacs

Grade: Sr Manager/AVP

Experience: Min 4 years of relevant experience

We are looking for a Data Scientist to join our growing team of Data Science experts and manage the processes and people responsible for accurate data collection, processing, modelling, analysis, implementation, and maintenance.

Responsibilities

• Understand, monitor and maintain existing financial scorecards (ML Based) and make changes to the model when required.
• Perform Statistical analysis in R and assist IT team with deployment of ML model and analytical frameworks in Python.
• Should be able to handle multiple tasks and must know how to prioritize the work.
• Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Develop clear, concise and actionable solutions and recommendations for client’s business needs and actively explore client’s business and formulate solutions/ideas which can help client in terms of efficient cost cutting or in achieving growth/revenue/profitability targets faster.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
• Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables.
• Communicate results and business impacts of insight initiatives to the Management of the company.

Requirements

• Industry knowledge
• 4 years or more of experience in financial services industry particularly retail credit industry is a must.
• Candidate should have either worked in banking sector (banks/ HFC/ NBFC) or consulting organizations serving these clients.
• Experience in credit risk model building such as application scorecards, behaviour scorecards, and/ or collection scorecards.
• Experience in portfolio monitoring, model monitoring, model calibration
• Knowledge of ECL/ Basel preferred.
• Educational qualification: Advanced degree in finance, mathematics, econometrics, or engineering.
• Technical knowledge: Strong data handling skills in databases such as SQL and Hadoop. Knowledge with data visualization tools, such as SAS VI/Tableau/PowerBI is preferred.
• Expertise in either R or Python; SAS knowledge will be plus.

Soft skills:

• Ability to quickly adapt to the analytical tools and development approaches used within DCB Bank
• Ability to multi-task good communication and team working skills.
• Ability to manage day-to-day written and verbal communication with relevant stakeholders.
• Ability to think strategically and make changes to data when required.

AI Product Manager

About Us:

At Formi, we’re not just riding the wave of innovation—we’re the ones creating it. Our AI-powered solutions are revolutionizing how businesses operate, pushing boundaries, and opening up new realms of possibility. We’re building the future of intelligent operations, and whether you join us or not, we’re going to change the game. But with you on board? We’ll do it faster.

About the Role:

We’re looking for a Product Manager who’s not afraid to take risks, who questions everything, and who can transform bold, crazy ideas into products that reshape entire industries. You won’t just manage; you’ll build, you’ll innovate, and you’ll lead. The best ideas? They come from people who think differently. If that’s you, let’s get started.

Your Mission (If You’re Ready for It):

We’re not hiring you for the usual. This is not a role for anyone looking to play it safe. We need someone who’s ready to challenge the status quo and make radical changes. You’ll be building the future with us, so expect to be pushed—and to push back. We’re not here to settle for less.

Key Responsibilities:

• Vision and Strategy: Forget business as usual. Your job is to craft strategies that disrupt markets and create competitive advantages that others can only dream of.
• Cross-Functional Leadership: You’ll lead from the front, working closely with engineering, sales, and marketing to turn ideas into reality. From concept to launch, you’re the one guiding the ship.
• Customer-Centric Innovation: Don’t just listen to customers—understand them at a deeper level. Then use that understanding to create products that make people say, “Why didn’t anyone think of this sooner?”
• End-to-End Ownership: You own it all. From the first spark of an idea to delivering a product that changes the game.
• Data-Driven Decision Making: We don’t guess here. Use data, trends, and insights to make decisions that propel our products forward. Let the numbers tell the story.
• Stakeholder Communication: Communicate like a visionary. Show the people around you the path forward and how it all ties together.
• Continuous Innovation: Complacency is the enemy. Keep pushing the envelope, iterating, and improving so we stay miles ahead of the competition.

Who Should Apply?

• You’re not just a thinker, you’re a doer. You thrive in fast-paced, innovative environments where the status quo is meant to be broken.
• You’ve got at least 2+ years of experience in product management, preferably in tech or SaaS, and you’ve led teams to deliver products that actually make an impact.
• You’re data-obsessed. Your decisions are backed by analytics, and you know how to measure success.
• You’re not just a communicator; you’re an inspirer. You can articulate a vision so clearly, people can’t help but rally behind it.

This Role is NOT for You If:

• You’re just looking for another job.
• You think “good enough” is, well, good enough.
• You’d rather play it safe than take bold, calculated risks.

Why Join Us?

• Impact: You’ll be part of a company that’s literally changing how businesses operate. Your work will have a direct impact on the future of creating a surplus economy.
• Growth: We’re scaling fast, and with that comes insane opportunities for personal and professional development.
• Culture: We move fast, we break things (intelligently), and we value big ideas. We’re building something massive, and you’ll be a key part of it.

Are you ready to disrupt entire industries and make a dent in the universe?

Apply now and let’s build the future together.

We are seeking a highly skilled and experienced Senior Data Analyst to join our team. In this role, you will be responsible for analyzing complex datasets, generating actionable insights, and supporting strategic decision-making processes. You will collaborate with cross-functional teams, develop data models, and create compelling reports and visualizations to communicate findings effectively.

Key Responsibilities:

• Data Analysis: Perform in-depth analysis of large datasets to identify trends, patterns, and correlations. Utilize statistical methods and data mining techniques to extract actionable insights.
• Reporting & Visualization: Develop and deliver comprehensive reports and interactive dashboards that effectively communicate data insights and business performance to stakeholders.
• Data Modeling: Build and maintain data models that support business operations and decision-making processes. Conduct data validation and ensure accuracy and consistency.
• Business Intelligence: Collaborate with business leaders and teams to understand their data needs and translate them into analytical requirements. Provide data-driven recommendations to support strategic initiatives.

Data Science:

• Python expert level, Analytical, Different models works, Basic concepts, CPG(Domain).

• Statistical Models & Hypothesis , Testing

• Machine Learning Important

• Business Understanding, visualization in Python.

• Classification, clustering and regression

•

Mandatory Skills

• Data Science, Python, Machine Learning, Statistical Models, Classification, clustering and regression

About the Role

We are actively seeking talented Senior Python Developers to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and who aspire to be at the forefront of AI advancements. You will work with different companies in the US who are looking to develop both commercial and research AI solutions.

Required Skills:

• Write effective Python code to tackle complex issues
• Use business sense and analytical abilities to glean valuable insights from public databases 
• Clearly express the reasoning and logic when writing code in Jupyter notebooks or other suitable mediums
• Extensive experience working with Python 
• Proficiency with the language's syntax and conventions
• Previous experience tackling algorithmic problems
• Nice to have some prior Software Quality Assurance and Test Planning experience
• Excellent spoken and written English communication skills

The ideal candidates should be able to

• Clearly explain their strategies for problem-solving.
• Design practical solutions in code.
• Develop test cases to validate their solutions.
• Debug and refine their solutions for improvement.

About the Company :

Nextgen Ai Technologies is at the forefront of innovation in artificial intelligence, specializing in developing cutting-edge AI solutions that transform industries. We are committed to pushing the boundaries of AI technology to solve complex challenges and drive business success.

Currently offering "Data Science Internship" for 2 months.

Data Science Projects details In which Intern’s Will Work :

Project 01 : Image Caption Generator Project in Python

Project 02 : Credit Card Fraud Detection Project

Project 03 : Movie Recommendation System

Project 04 : Customer Segmentation

Project 05 : Brain Tumor Detection with Data Science

Eligibility

A PC or Laptop with decent internet speed.

Good understanding of English language.

Any Graduate with a desire to become a web developer. Freshers are welcomed.

Knowledge of HTML, CSS and JavaScript is a plus but NOT mandatory.

Fresher are welcomed. You will get proper training also, so don't hesitate to apply if you don't have any coding background.

#please note that THIS IS AN INTERNSHIP , NOT A JOB.

We recruit permanent employees from inside our interns only (if needed).

Duration : 02 Months 

MODE: Work From Home (Online)

Responsibilities

Manage reports and sales leads in salesforce.com, CRM.

Develop content, manage design, and user access to SharePoint sites for customers and employees.

Build data driven reports, store procedures, query optimization using SQL and PL/SQL knowledge.

Learned the essentials to C++ and Java to refine code and build the exterior layer of web pages.

Configure and load xml data for the BVT tests.

Set up a GitHub page.

Develop spark scripts by using Scala shell as per requirements.

Develop and A/B test improvements to business survey questions on iOS.

Deploy statistical models to various company data streams using Linux shells.

Create monthly performance-base client billing reports using MySQL and NoSQL databases.

Utilize Hadoop and MapReduce to generate dynamic queries and extract data from HDFS.

Create source code utilizing JavaScript and PHP language to make web pages functional.

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

Effective communication skills to convey complex technical concepts.

Benefits

Internship Certificate

Letter of recommendation

Stipend Performance Based

Part time work from home (2-3 Hrs per day)

5 days a week, Fully Flexible Shift

Data engineers:

Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.This would also include develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity

Constructing infrastructure for efficient ETL processes from various sources and storage systems.

Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.

Leading the implementation of algorithms and prototypes to transform raw data into useful information.

Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.

Creating innovative data validation methods and data analysis tools.

Ensuring compliance with data governance and security policies.

Interpreting data trends and patterns to establish operational alerts.

Developing analytical tools, utilities, and reporting mechanisms.

Conducting complex data analysis and presenting results effectively.

Preparing data for prescriptive and predictive modeling.

Continuously exploring opportunities to enhance data quality and reliability.

Applying strong programming and problem-solving skills to develop scalable solutions.

Writes unit/integration tests, contributes towards documentation work

Must have ....

6 to 8 years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Scala/Java/ Python API frameworks/ Swagger and Spark for applied large-scale data processing.

Expertise with big data technologies, API development (Flask,,including Spark, Data Lake, Delta Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience with RDBMS and OLAP databases like MySQL, Redshift.

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data pipelines.

Good to Have:

Passion for testing strategy, problem-solving, and continuous learning.

Willingness to acquire new skills and knowledge.

Possess a product/engineering mindset to drive impactful data solutions.

Experience working in distributed environments with teams scattered geographically.

Title:- Data Scientist

Experience:-6 years

Work Mode:- Onsite

Primary Skills:- Data Science, SQL, Python, Data Modelling, Azure, AWS, Banking Domain (BFSI/NBFC)

Qualification:- Any

Roles & Responsibilities:-

1.  Acquiring, cleaning, and preprocessing raw data for analysis.

2.  Utilizing statistical methods and tools for analyzing and interpreting complex  datasets.

3.  Developing and implementing machine learning models for predictive analysis.

4.  Creating visualizations to effectively communicate insights to both technical and   non-technical stakeholders.

5.  Collaborating with cross-functional teams, including data engineers, business   analysts, and domain experts.

6.  Evaluating and optimizing the performance of machine learning models for   accuracy and efficiency.

7.  Identifying patterns and trends within data to inform business decision-making.

8.  Staying updated on the latest advancements in data science, machine learning, and  relevant technologies.

Requirement:- 

1.  Experience with modeling techniques such as Linear Regression, clustering, and classification techniques.

2.  Must have a passion for data, structured or unstructured.  0.6 – 5 years of hands-on experience with Python and SQL is a must.

3.   Should have sound experience in data mining, data analysis and machine learning techniques.

4.  Excellent critical thinking, verbal and written communications skills.

5.  Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment.

6.   Good presentation skills.

We are working on AI for medical images. We need someone who can run pre trained models and also train new ones

In this position, you will play a pivotal role in collaborating with our CFO, CTO, and our dedicated technical team to craft and develop cutting-edge AI-based products.

Role and Responsibilities:

- Develop and maintain Python-based software applications.

- Design and work with databases using SQL.

- Use Django, Streamlit, and front-end frameworks like Node.js and Svelte for web development.

- Create interactive data visualizations with charting libraries.

- Collaborate on scalable architecture and experimental tech. - Work with AI/ML frameworks and data analytics.

- Utilize Git, DevOps basics, and JIRA for project management. Skills and Qualifications:

- Strong Python programming

skills.

- Proficiency in OOP and SQL.

- Experience with Django, Streamlit, Node.js, and Svelte.

- Familiarity with charting libraries.

- Knowledge of AI/ML frameworks.

- Basic Git and DevOps understanding.

- Effective communication and teamwork.

Company details: We are a team of Enterprise Transformation Experts who deliver radically transforming products, solutions, and consultation services to businesses of any size. Our exceptional team of diverse and passionate individuals is united by a common mission to democratize the transformative power of AI.

Website: Blue Hex Software – AI | CRM | CXM & DATA ANALYTICS

Responsibilities

> Selecting features, building and optimizing classifiers using machine

> learning techniques

> Data mining using state-of-the-art methods

> Extending company’s data with third party sources of information when

> needed

> Enhancing data collection procedures to include information that is

> relevant for building analytic systems

> Processing, cleansing, and verifying the integrity of data used for

> analysis

> Doing ad-hoc analysis and presenting results in a clear manner

> Creating automated anomaly detection systems and constant tracking of

> its performance

Key Skills

> Hands-on experience of analysis tools like R, Advance Python

> Must Have Knowledge of statistical techniques and machine learning

> algorithms

> Artificial Intelligence

> Understanding of Text analysis- Natural Language processing (NLP)

> Knowledge on Google Cloud Platform

> Advanced Excel, PowerPoint skills

> Advanced communication (written and oral) and strong interpersonal

> skills

> Ability to work cross-culturally

> Good to have Deep Learning

> VBA and visualization tools like Tableau, PowerBI, Qliksense, Qlikview

> will be an added advantage

Are you passionate about pushing the boundaries of Artificial Intelligence and its applications in the software development lifecycle? Are you excited about building AI models that can revolutionize how developers ship, refactor, and onboard to legacy or existing applications faster? If so, Zevo.ai has the perfect opportunity for you!

As an AI Researcher/Engineer at Zevo.ai, you will play a crucial role in developing cutting-edge AI models using CodeBERT and codexGLUE to achieve our goal of providing an AI solution that supports developers throughout the sprint cycle. You will be at the forefront of research and development, harnessing the power of Natural Language Processing (NLP) and Machine Learning (ML) to revolutionize the way software development is approached.

Responsibilities:

1. AI Model Development: Design, implement, and refine AI models utilizing CodeBERT and codexGLUE to comprehend codebases, facilitate code understanding, automate code refactoring, and enhance the developer onboarding process.
2. Research and Innovation: Stay up-to-date with the latest advancements in NLP and ML research, identifying novel techniques and methodologies that can be applied to Zevo.ai's AI solution. Conduct experiments, perform data analysis, and propose innovative approaches to enhance model performance.
3. Data Collection and Preparation: Collaborate with data engineers to identify, collect, and preprocess relevant datasets necessary for training and evaluating AI models. Ensure data quality, correctness, and proper documentation.
4. Model Evaluation and Optimization: Develop robust evaluation metrics to measure the performance of AI models accurately. Continuously optimize and fine-tune models to achieve state-of-the-art results.
5. Code Integration and Deployment: Work closely with software developers to integrate AI models seamlessly into Zevo.ai's platform. Ensure smooth deployment and monitor the performance of the deployed models.
6. Collaboration and Teamwork: Collaborate effectively with cross-functional teams, including data scientists, software engineers, and product managers, to align AI research efforts with overall company objectives.
7. Documentation: Maintain detailed and clear documentation of research findings, methodologies, and model implementations to facilitate knowledge sharing and future developments.
8. Ethics and Compliance**: Ensure compliance with ethical guidelines and legal requirements related to AI model development, data privacy, and security.

Requirements

1. Educational Background: Bachelor's/Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A strong academic record with a focus on NLP and ML is highly desirable.
2. Technical Expertise: Proficiency in NLP, Deep Learning, and experience with AI model development using frameworks like PyTorch or TensorFlow. Familiarity with CodeBERT and codexGLUE is a significant advantage.
3. Programming Skills: Strong programming skills in Python and experience working with large-scale software projects.
4. Research Experience: Proven track record of conducting research in NLP, ML, or related fields, demonstrated through publications, conference papers, or open-source contributions.
5. Problem-Solving Abilities: Ability to identify and tackle complex problems related to AI model development and software engineering.
6. Team Player: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
7. Passion for AI: Demonstrated enthusiasm for AI and its potential to transform software development practices.

If you are eager to be at the forefront of AI research, driving innovation and impacting the software development industry, join Zevo.ai's talented team of experts as an AI Researcher/Engineer. Together, we'll shape the future of the sprint cycle and revolutionize how developers approach code understanding, refactoring, and onboarding!

CTC Budget: 35-55LPA

Location: Hyderabad (Remote after 3 months WFO)

Company Overview:

An 8-year-old IT Services and consulting company based in Hyderabad providing services in maximizing product value while delivering rapid incremental innovation, possessing extensive SaaS company M&A experience including 20+ closed transactions on both the buy and sell sides. They have over 100 employees and looking to grow the team.

• 6 plus years of experience as a Python developer.
• Experience in web development using Python and Django Framework.
• Experience in Data Analysis and Data Science using Pandas, Numpy and Scifi-Kit - (GTH)
• Experience in developing User Interface using HTML, JavaScript, CSS.
• Experience in server-side templating languages including Jinja 2 and Mako
• Knowledge into Kafka and RabitMQ (GTH)
• Experience into Docker, Git and AWS
• Ability to integrate multiple data sources into a single system.
• Ability to collaborate on projects and work independently when required.
• DB (MySQL, Postgress, SQL)

Selection Process: 2-3 Interview rounds (Tech, VP, Client)

RESPONSIBILITIES:

• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.

• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.

• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.

• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.

• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.

• You’ll be reporting directly to the head of the engineering and will be

instrumental in discussing and explaining the progress to top management and other stake holders.

• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.

REQUIREMENTS:

• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems

• Stay updated with latest research in machine learning esp. recommender systems and audio signals

• Have taken scalable ML services to production, maintained and managed their lifecycle

• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models

Minimum Qualifications

• 13+ years of industry experience doing applied machine learning

• 5+ years of experience in tech team management

• Fluent in one or more object oriented languages like Python, C++, Java

• Knowledgeable about core CS concepts such as common data structures an algorithms

• Comfortable conducting design and code reviews

• Comfortable in formalising a product or business problem as a ML problem

• Master’s or PhD degree in Computer Science, Mathematics or related field

• Industry experience with large scale recommendation and ranking systems

• Experience in managing team of 10-15 engineers

• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow

We are a stealth startup focusing on AI in healthcare and are looking for software engineers to join our PoC (Proof of Concept) team. You will be a core member of the company with equity options. If you are ambitious, excited about next-generation tech and have a constant hunger to learn, we encourage you to apply.

Your responsibilities:

• Design and develop full-stack web applications for PoC.
• Implement computer vision and NLP based deep learning models.
• Participate in client meetings and refine product capabilities.

Essential requirements:

• Interested in working at startups.
• Ability to work independently.
• Experienced in developing full-stack web applications.
• Strong command over React and Python.
• Good experience with Data Science.
• Comfortable with ambiguity and frequent changes to project scope in innovation environment.

About the company: https://www.hectar.in/

Hectar Global is a financial technology company that provides a disruptive cross-border trading platform for the agricultural commodities market. Our platform utilizes machine learning and data analysis to provide insights and improve the trading experience for farmers, traders, and other stakeholders in the agricultural industry. Our mission is to bring transparency and efficiency to the agricultural commodities market, which has traditionally been fragmented and opaque. We are committed to driving innovation in the industry and providing a user-friendly and accessible platform for our customers.

Job Overview: 

We are seeking a highly skilled Head of Engineering to lead the development of our innovative and disruptive cross-border trading platform at Hectar Global. This person will be responsible for spearheading all technical aspects of the project, from architecture and infrastructure to data and machine learning.

Responsibilities:

• Lead and manage a team of engineers, including hiring, training, and mentoring
• Design and implement the technical architecture of the cross-border trading platform
• Ensure the platform is scalable, efficient, and secure
• Oversee the development of data models and machine learning algorithms
• Collaborate with cross-functional teams, including product and design, to ensure the platform meets user needs and is visually appealing and easy to use
• Work with stakeholders to identify business requirements and translate them into technical solutions
• Develop and maintain technical documentation, including system specifications, design documents, and user manuals
• Keep up to date with emerging trends and technologies in software engineering, machine learning, and data science
• 
  

Requirements:

• Bachelor's or Master's degree in Computer Science or related field
• 10+ years of experience in software engineering, with a focus on web applications and machine learning
• Proven track record of leading and managing a team of engineers
• Expertise in software architecture and design patterns
• Experience with data modeling and machine learning techniques
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Experience working in an agile development environment
• Strong knowledge of front-end technologies, such as HTML, CSS, and JavaScript
• Familiarity with modern web frameworks, such as React or Angular

Preferred qualifications:

• Experience with cloud computing platforms, such as AWS or Azure
• Familiarity with data visualization tools, such as D3.js or Tableau
• Experience with containerization and orchestration tools, such as Docker and Kubernetes
• Understanding of financial markets and trading platforms

If you are a passionate leader with a proven track record of building innovative and disruptive products and teams, we would love to hear from you.

• Worked on Python, with knowledge of Scrapy framework & Beautiful Soup.
• Maintaining the running web crawlers full-stack application.
• Create more/better ways to crawl relevant information
• Builds and maintain new API integrations to support continuing increases in data volume and complexity
• Python Tech stack (Python library: Requests, Urllib, Beautifulsoup).
• Good communication skills.

Roles and Responsibilities

• Managing available resources such as hardware, data, and personnel so that deadlines are met.
• Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
• Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Defining validation framework and establish a process to ensure acceptable data quality criteria are met
• Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
• Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
• Device self-learning strategies through analysis of errors from the models
• Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
• Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
• Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.

Preferred Technical & Professional expertise

• Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
• At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning
• In-depth knowledge of cloud analytics tools.
• Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
• Ability to evaluate hardware selection for running ML models for optimal performance
• Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
• Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
• Deep analytical thinking with excellent problem-solving abilities
• Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
• Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders
• Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.
• Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards

• Manages the delivery of large, complex Data Science projects using appropriate frameworks and collaborating with stake holders to manage scope and risk. Help the AI/ML Solution
• Analyst to build solution as per customer need on our platform Newgen AI Cloud. Drives profitability and continued success by managing service quality and cost and leading delivery. Proactively support sales through innovative solutions and delivery excellence.
•  

• Collaborate with the business teams to understand the data environment in the organization; develop and lead the Data Scientists team to test and scale new algorithms through pilots and subsequent scaling up of the solutions
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service
• Act as the single point source for all data related queries; strong understanding of internal and external data sources; provide inputs in deciding data-schemas
• Design, develop and maintain the framework for the analytics solutions pipeline
• Provide inputs to the organization’s initiatives on data quality and help implement frameworks and tools for the various related initiatives
• Work in cross-functional teams of software/machine learning engineers, data scientists, product managers, and others to build the AI ecosystem
• Collaborate with the external organizations including vendors, where required, in respect of all data-related queries as well as implementation initiatives

• Work closely with your business to identify issues and use data to propose solutions for effective decision making
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation.
• Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
• Querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Visualizing/presenting data through various Dashboards for Data Analysis, Using Python Dash, Flask etc.
• Test data mining models to select the most appropriate ones for use on a project
• Work in a POSIX/UNIX environment to run/deploy applications
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• Horizon scan to stay up to date with the latest technology, techniques and methods
• Coordinate with different functional teams to implement models and monitor outcomes.
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

• Able to create algorithms to extract information from large data sets
• Strong knowledge of Python, R, Java or another scripting/statistical languages to automate data retrieval, manipulation and analysis.
• Experience with extracting and aggregating data from large data sets using SQL or other tools
• Strong understanding of various NLP, and NLU techniques like Named Entity Recognition, Summarization, Topic Modeling, Text Classification, Lemmatization and Stemming.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
• Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
• Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
• Knowledge of Machine Learning techniques and their respective pros and cons
• Strong Knowledge of various Data Science Visualization Tools like Tableau, PowerBI, D3, Plotly, etc.
• Experience using web services: Redshift, AWS, S3, Spark, DigitalOcean, etc.
• Proficiency in using query languages, such as SQL, Spark DataFrame API, etc.
• Hands-on experience in HTML, CSS, Bootstrap, JavaScript, AJAX, jQuery and Prototyping.
• Hands-on experience on C#, Javascript, .Net
• Experience in understanding and analyzing data using statistical software (e.g., Python, R, KDB+ and other relevant libraries)
• Experienced in building applications that meet enterprise needs – secure, scalable, loosely coupled design
• Strong knowledge of computer science, algorithms, and design patterns
• Strong oral and written communication, and other soft skills critical to collaborating and engage with teams

Our Company

Tealbox.Digital is a Marketing-Technology company founded by IIT-Delhi alumni, focused on solving complex problems for businesses operating online. We leverage Paid Media to help clients all over the globe acquire new customers, retain existing ones and maximize customer lifetime value. We have been involved with several pre-sales startups that approached us with the intent to establish their proof of concept and we have enabled those businesses to grow from there to seven-figure turnovers. Our performances have impacted businesses so largely that we were able to set them up to raise capital from large investors. We currently operate in four continents and are growing steadily owing to the current need for businesses to go online and efficient performance marketing solutions to keep this channel sustainable. The businesses we largely work with are small-scale enterprises and startups and we are directly responsible for shaping how their business grows.

TealBox Digital is an Indian startup with a global outlook. We are an equal opportunity employer and are committed to creating exceptional employee experiences. We believe in empowering people by focusing on employee development and investing in continuous learning opportunities. We’re committed to helping people thrive professionally and personally.

Job Description

We are looking for curious individuals who are natural leaders and have the ability to recognise what needs to be done. We require candidates with strong written & verbal communication skills and analytical thinkers. The ideal candidate will need to be able to effectively articulate insights and recommended actions.

In this role,

• You need to analyze and solve increasingly complex business problems.
• You will be working as a part of the Digital Marketing & Customer Analytics team which provides a set of processes that measure, manage and analyze marketing activities in order to provide actionable insights and recommendations to clients’ advertising campaigns to optimize ROI & performance efficiency in operations.
• You will have experience in transforming large amounts of diverse business data into valuable and meaningful information that can be used to support campaign-wise decision-making.
• Design and carry out high quality analysis in service of projects undertaken on behalf of clients and ensure the analysis is presented in a compelling way.
• You will have good written and oral communication skills in English language and the ability to transform data into actionable insights for an audience composed of digital experts, novices and beginners.
• Conceptualize and implement Paid Media strategies to acquire new customers and grow client businesses.
• Stay informed of the relevant industry, paid media, and paid media platform trends and best practices.
• The ideal candidate is someone who enjoys solving problems. They love taking on difficult challenges and finding creative solutions and does not get flustered easily.

Requirements

• Graduates with an aptitude to pick up new skills or 4-6 years’ experience in the marketing segment with a clear understanding of digital marketing or individuals with equivalent/relevant experience.
• Experience with FB Ads, Google Ads, Amazon Ads, Programmatic Buying and other allied tools such as Google Analytics, Google Tag Manager etc, is a plus but NOT mandatory.
• Strong presentation skills and ability to work with diverse stakeholders.
• Ability to analyze large data sets and use analytical skills to create easy-to-understand, actionable insights for business stakeholders.
• Intermediate knowledge/experience with Google Sheets, Google Slides, Google Data Studio, Python, etc.
• Strong math/analytical and quantitative skills.
• Strong problem-solving skills.
• Very strong oral and written communication skills.
• Intermediate knowledge/experience with relational databases and report development.
• Close attention to detail, accuracy, follow-through and excellent organizational skills.
• Proof of ability to take up responsibility and deliver on actions

Cogoport Story

Do you prefer to get speeding tickets or parking tickets?

Because at Cogoport we are speeding ahead to do something remarkable for the world. We are trying to solve the Trade Knowledge and Execution Gap, which is currently widening and preventing trade to the tune of $3.4 trillion annually. This Gap has enormous economic as well as human impact and disproportionately hits small and medium businesses globally.

The team at Cogoport is working on developing a new category, the Global Trade Platform, that helps companies discover and connect with appropriate trade partners, optimize shipping and logistics options and costs, and improve cash management and cash flow.

Cogoport is currently in hypergrowth mode. We are proud to have been named an Asia-Pacific High-Growth Company by the Financial Times and an Indian Growth Champion by the Economic Times. We are aiming to reach an annualized revenue of $1 billion (7700 Crores INR) by this summer and are hiring over 500 additional employees. We are currently hiring in Mumbai, Gurgaon, Chennai and Bangalore.

Cogoport Culture: We have two core values at Cogoport—Intrapreneurship and Customer-centricity. If you share these values and are a hard worker who is willing to take risks (and occasionally get a speeding ticket), you can make a huge impact and propel your career in an endless number of directions with Cogoport.

Cogoport Leadership

https://www.linkedin.com/in/purnendushekhar/">https://www.linkedin.com/in/purnendushekhar/
https://www.linkedin.com/in/amitabhshankar/">https://www.linkedin.com/in/amitabhshankar/

Life at Cogoport: It’s rare to be able to join a company that can give you the resources, support and technology you need to break new ground and see your ideas come to life. You’ll be surrounded by some of the smartest engineers and commercial specialists in India and the Asia Pacific Region.

With huge growth and the right entrepreneurial mindset, comes huge opportunities! So, wherever you join us, you’ll be able to dream, deliver better and brighter solutions, and speed ahead with the possibility to propel your career forward in endless directions as our company continues to grow and expand.

For more insights about the company:  https://cogoport.com/about">https://cogoport.com/about

Why Cogoport?

International Trade can be complicated at times and every day brings new challenges and opportunities to learn.  When we simplify international trade, it empowers and affects every human being on the face of this earth. Seven billion people - one common problem.

As a part of the Talent team at Cogoport, you will get an opportunity to be a part of an industry-wide revolution in the world of shipping and logistics by collaborating with other brilliant minds to resolve real world on-ground challenges. You will have a direct impact on the revenue and profitability growth for the organization.

Areas of Impact for you

• Hands-on management with deep-dive into the details of software design, implementation and debugging.
• Guide your teams in developing roadmaps and systems to drive product growth, then identify, plan, and execute projects to support that growth.Manage multiple projects across a wide breadth of technologies, coordinate dependencies, and interactions with the internal teams and external partners.
• Collaborate with stakeholders from across functions to keep the development team in sync with all functions and overall business objectives.
• Develop large multi-tenant applications in Rails.
• Understand Rails best practices and religiously introduce those to codebase.
• Set up, create and manage strong best practices/architecture to ensure reliable, secure, bug-free, and performant software is released on-time.

Desirable Skills and Experience

• Loves coding.
• 4-6 years of experience managing technology teams.
• Demonstrated ability to build complex scalable technology products.
• Should have prior experience of working with ROR, React, PostgreSQL and cloud infra.
• Understanding scaling strategies for a high-traffic Rails applications.
• Understanding O-Auth2 or JWT (Json Web Token) authentication mechanisms.
• Experience in using ActiveRecordSerialize, RSpec and active interaction.Engin
• Knowledge about Asynchronous Networking in Ruby; Refactoring ActiveRecord Models; Background Job processing using Redis and Sidekiq; Writing automated Deployment Scripts using Capistrano, Ansible etc.
• Expertise in Data Science and Machine Learning is a plus.
• Expertise in Jenkins, Kubernetes, dockers and cloud technology is a plus.

Cogoport is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and respected at work.