Live opening · Posted 6 hours ago

AI ML Developer

Tata Consultancy Services Limited · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 6 hours ago
CompanyTata Consultancy Services Limited
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SkillsPython, C++, AWS, Azure, Docker, Kubernetes, TensorFlow
SourceLinkedin
Listed6 hours ago

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About the role

Description supplied by the original job listing.

Job Title: Sr. AI ML Developer
Experience Range: 8+ Years
Location: Hyderabad/ Bangalore
Required Technical skill set: AI ML, Edge AI
Must-Have:
5+ years of hands-on development experience in AI/ML.
Strong knowledge of ML libraries (TensorFlow Lite, PyTorch Mobile, ONNX).
Experience with edge hardware platforms (e.g., Raspberry Pi, Jetson Nano, Coral Dev Board).
Proficient in Python and C/C++.
Familiarity with performance optimization techniques for models on edge.
Experience with REST APIs, messaging protocols, or low-latency data streaming.
Ability to perform predictive and statistical analysis from different data source
knowledge and hands-on experience of building and deploying AI models on edge devices.
knowledge of embedded systems, microcontrollers, or low-power compute devices.
Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
Experience with Image Processing, Computer Vision, NLP, Pattern Recognition, Machine Learning and Linear algebra.
knowledge and exposure to model optimization techniques.
Experience with AI accelerator frameworks
Good-to-Have:
Familiarity with OpenCV, YOLO, or MobileNet for vision tasks.
Knowledge of TinyML or microcontroller-based AI inference.
Exposure to MLOps tools and versioning (MLflow, DVC).
Understanding of security practices in edge deployments.
Experience with edge analytics, anomaly detection, or predictive maintenance use cases.
Exposure to deployment tool-chain like Intel EII, Nvidia Deep Stream, Qualcomm AI Hub, etc....
Exposure to popular platforms such as Azure, AWS
Responsibility of the Role:
Build and optimize AI/ML models for edge deployment.
Develop edge inference pipelines using lightweight frameworks.
Optimize models for resource-constrained environments (quantization, pruning).
Integrate AI models into embedded or IoT platforms.
Collaborate with cross-functional teams on data collection, preprocessing, and annotation.
Implement software for real-time processing and decision-making at the edge.

Work arrangement
No

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