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.