Lead – Foundational AI
1 day ago
Key Responsibilities
· Lead design, training, and deployment of foundational AI models across use cases
· Fine-tune large language models (LLMs) like GPT, Claude, and open-source models for enterprise applications
· Guide a team of junior AI engineers (IIT graduates) in solving high-impact problems
· Develop supervised and unsupervised learning pipelines using modern ML frameworks
· Integrate generative AI models into Piramal Finance internal platforms and tech systems
· Collaborate with business, product, and engineering teams to define AI-driven solutions
· Maintain model performance, scalability, and alignment with compliance and risk standards
· Stay ahead of trends in generative AI, LLMs, and representation learning
Required Skills & Experience
· 3–5 years of hands-on experience in AI/ML (supervised, unsupervised, foundational model building)
· Strong hold on Agentic Architecture, MCPs, RAG frameworks
· Knowledge of Reasoning and SoTA models
· Strong experience with generative AI models (LLMs, transformers, diffusion models)
· Experience with frameworks like PyTorch, TensorFlow, Hugging Face Transformers
· Proficiency in Python and ML Ops (Docker, Git, model deployment pipelines)
· Exposure to fine-tuning or customizing LLMs using tools like LoRA, PEFT, RAG pipelines
· Strong understanding of ML lifecycle, vector databases, embeddings, prompt engineering
· Ability to mentor junior engineers and lead model development end-to-end
· Prior exposure to NBFC/BFSI domain in India is a strong plus
Preferred Qualifications
· Graduate from a top-tier engineering college (IIT/NIT/BITS or equivalent)
· Experience with enterprise-grade AI deployment or working with finance datasets
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