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.

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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