6+ Machine Learning (ML) Jobs in Kolkata | Machine Learning (ML) Job openings in Kolkata
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A Concise Glimpse into the Role
We’re on the hunt for young, energetic, and hustling talent ready to bring fresh ideas and unstoppable drive to the table.
This isn’t just another role—it’s a launchpad for change-makers. If you’re driven to disrupt, innovate, and challenge the norm, we want you to make your mark with us.
Are you ready to redefine the future?
Apply now and step into a career where your ideas power the impossible!
Your Time Will Be Invested In
· AI/ML Model Innovation and Research
· Are you ready to lead transformative projects at the cutting edge of AI and machine learning? We're looking for a visionary mind with a passion for building ground breaking solutions that redefine the possible.
What You'll Own
Pioneering AI/ML Model Innovation
· Take ownership of designing, developing, and deploying sophisticated AI and ML models that push boundaries.
· Spearhead the creation of generative AI applications that revolutionize real-world experiences.
· Drive end-to-end implementation of AI-driven products with a focus on measurable impact.
Data Engineering and Advanced Development
· Architect robust pipelines for data collection, pre-processing, and analysis, ensuring precision at every stage.
· Deliver clean, scalable, and high-performance Python code that empowers our AI systems to excel.
Trailblazing Research and Strategic Collaboration
· Dive into the latest research to stay ahead of AI/ML trends, identifying opportunities to integrate state-of-the-art techniques.
· Foster innovation by brainstorming with a dynamic team to conceptualize novel AI solutions.
· Elevate the team's expertise by preparing insightful technical documentation and presenting actionable findings.
What We Want You to Have
· 1-2 years' experience with live AI project experience, from conceptualization to real-world deployment.
· Foundational knowledge in AI, ML, and generative AI applications.
· Proficient in Python and familiar with libraries like TensorFlow, PyTorch, Scikit-learn.
· Experience working with structured & unstructured data, as well as predictive analytics.
· Basic understanding of Deep Learning Techniques.
· Knowledge of AutoGen for building scalable multi-agent AI systems & familiarity with LangChain or similar frameworks for building AI Agents.
· Knowledge of using AI tools like VS Copilot.
· Proficient in working with vector databases for managing and retrieving data.
· Understanding of AI/ML deployment tools such as Docker, Kubernetes.
· Understanding JavaScript, TypeScript with React and Tailwind.
· Proficiency in Prompt Engineering for various use cases, including content generation and data extraction.
· Ability to work independently and as part of a collaborative team.
· Excellent communication skills and a strong willingness to learn.
Nice to Have
· Prior project or coursework experience in AI/ML.
· Background in Big Data technologies (Spark, Hadoop, Databricks).
· Experience with containerization and deployment tools.
· Proficiency in SQL & NoSQL databases.
· Familiarity with Data Visualization tools (e.g., Matplotlib, Seaborn).
Soft Skills
· Strong problem-solving and analytical capabilities.
· Excellent teamwork and interpersonal communication.
· Ability to thrive in a fast-paced and innovation-driven environment.


- Design and implement cloud solutions, build MLOps on Azure
- Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools
- Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
- Data science models testing, validation and tests automation
- Deployment of code and pipelines across environments
- Model performance metrics
- Service performance metrics
- Communicate with a team of data scientists, data engineers and architect, document the processes



3+ years’ experience as Python Developer / Designer and Machine learning 2. Performance Improvement understanding and able to write effective, scalable code 3. security and data protection solutions 4. Expertise in at least one popular Python framework (like Django, Flask or Pyramid) 5. Knowledge of object-relational mapping (ORM) 6. Familiarity with front-end technologies (like JavaScript and HTML5


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.)







