4+ Deployment management Jobs in Delhi, NCR and Gurgaon | Deployment management Job openings in Delhi, NCR and Gurgaon

We are hiring a skilled Backend Developer to design and manage server-side applications, APIs, and database systems.

Key Responsibilities:

• Develop and manage APIs with Node.js and Express.js.
• Work with MongoDB and Mongoose for database management.
• Implement secure authentication using JWT.
• Optimize backend systems for performance and scalability.
• Deploy backend services on VPS and manage servers.
• Collaborate with frontend teams and use Git/GitHub for version control.

Required Skills:

• Node.js, Express.js
• MongoDB, Mongoose
• REST API, JWT
• Git, GitHub, VPS hosting

Qualifications:

• Bachelor’s degree in Computer Science or related field.
• Strong portfolio or GitHub profile preferred.

Responsibilities:

• Technical Leadership & Delivery: Lead the design, development, and deployment of customized Salesforce solutions, ensuring adherence to best practices for architecture, scalability, and security.
• Project Oversight: Oversee all technical aspects of Salesforce projects, from requirements gathering to final deployment, including integration, testing, and performance optimization.
• Team Management: Provide technical leadership and guidance to a team of Salesforce developers, conducting code reviews, setting development standards, and ensuring timely and quality deliverables.
• Stakeholder Collaboration: Work closely with business stakeholders to understand their requirements, translate them into technical specifications, and ensure successful implementation.
• Custom Development: Architect and build custom Salesforce applications using Apex, Visualforce, Lightning Web Components (LWC), and other Salesforce tools.
• Integrations: Design and implement Salesforce integrations with third-party systems using REST, SOAP, and API integration tools such as Mulesoft.
• Platform Optimization: Manage, maintain, and optimize existing Salesforce environments, identifying opportunities for improvements in performance, security, and user experience.
• Continuous Improvement: Stay current with Salesforce releases and platform enhancements, recommending updates and innovations to keep systems at the cutting edge.
• DevOps & CI/CD: Drive the adoption of DevOps practices, including continuous integration and deployment (CI/CD), ensuring smooth and efficient code management processes.
• Mentorship: Mentor junior developers, providing guidance on best practices, troubleshooting, and problem-solving, fostering a culture of continuous learning and technical excellence.

Who Are We

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

WHY US

• Join top AI company
• Grow with your best companions
• Continuous pursuit of excellence, equality, respect
• Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

To learn more about how we work, please check out

https://www.orbo.ai/.

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

Responsibilities:

• Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
• Lead a team of ML engineers in developing an industrial AI product from scratch
• Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
• Tune the models to achieve high accuracy rates and minimum latency
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements

Requirements:

• Bachelor’s degree
• Understanding about depth and breadth of computer vision and deep learning algorithms.
• Experience in taking an AI product from scratch to commercial deployment.
• Experience in Image enhancement, object detection, image segmentation, image classification algorithms
• Experience in deployment with OpenVINO, ONNXruntime and TensorRT
• Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
• Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
• Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

• is proactive and an independent problem solver
• is a constant learner. We are a fast growing start-up. We want you to grow with us!
• is a team player and good communicator

What We Offer:

• You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
• You will be in charge of what you build and be an integral part of the product development process
• Technical and financial growth!

• Managing the project plan, budget, structure, schedule and staffing requirements for the delivery organization
• Creating and executing project work plans and revising as appropriate to meet changing needs and requirements for a workstream
• Being responsible for the deliverables, cost, schedule, and quality for a workstream
• Developing, reviewing and approving project plan(s) and scope; ensuring all facets of the project deliverables are met for a workstream
• Reviewing deliverables prepared by team before passing to client for a workstream
• Identifying and managing project risk for a workstream
• Ensuring project documents are complete, current, and stored appropriately for a workstream
• Reviewing the status reports of team members and addressing issues as appropriate for a workstream