Lead – Foundational AI

Key Responsibilities

Lead design, training, and deployment of foundational and generative AI models.

Fine-tune LLMs (GPT, Claude, open-source) for enterprise use.

Guide a team of AI engineers to deliver high-impact solutions.

Build ML pipelines (supervised / unsupervised) and integrate AI into Piramal Finance platforms.

Collaborate across business, product, and tech teams to drive AI initiatives.

Ensure model performance, scalability, and compliance.

Stay updated on LLM, RAG, and generative AI advancements.

Required Skills & Experience

3–5 years’ experience in AI / ML (model building, fine-tuning, deployment).

Expertise in Agentic Architecture, MCPs, and RAG frameworks.

Strong with Python, PyTorch / TensorFlow, Hugging Face, Docker, and Git.

Hands-on with LLM fine-tuning (LoRA, PEFT) and vector databases.

Solid grasp of prompt engineering and ML Ops practices.

Experience mentoring engineers; NBFC / BFSI exposure preferred.

Preferred Qualifications

B.Tech / M.Tech from IIT / NIT / BITS or equivalent.

Experience deploying AI models in enterprise or finance environments.