Key Responsibilities:
Lead design, development, and deployment of AI/ML solutions.
Build reusable models for prediction, classification, NLP, CV, and Generative AI use cases.
Define AI/ML standards, testing frameworks, and performance benchmarks.
Collaborate with MLOps teams for model deployment, monitoring, and retraining.
Mentor Data Scientists and ML Engineers.
Ensure compliance with Responsible AI, security, and data privacy requirements.

Technical Skills:
Deep Learning (CNN, RNN, Transformers), LLMs, RAG, Generative AI.
TensorFlow, PyTorch, Hugging Face, MLflow.
Python (Expert), R, C++, CUDA.
Docker, Kubernetes, CI/CD, TensorFlow Serving/TorchServe.
AWS SageMaker, Azure ML, Google Vertex AI.
Model optimization techniques such as Quantization, Pruning, ONNX, and TensorRT.
NLP, Computer Vision, Time Series Forecasting, and AI Agent frameworks.





Preferred Skills:
Robust leadership, stakeholder management, and communication skills.
Experience in large-scale digital transformation or government projects.
Knowledge of AI Governance and Responsible AI practices.

Provide your feedback on BizChat

Education:
B.Tech/M.Tech/M.S./Ph.D. in Computer Science, AI/ML, Data Science, or related fields.
Relevant AI/ML certifications preferred.
Research publications, patents, or open-source contributions are an advantage.

Experience:
710 years of AI/ML experience.
4–5 years of experience leading AI/ML teams.
Proven experience in developing and deploying AI/ML solutions at scale.

📌 Lead Ai Ml Engineer Delhi
🏢 Tata Consultancy Services
📍 Delhi