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Tier-1 bank role in Pune with mid-senior generative-AI focus yields moderately competitive candidate density.
Strong banking-specific requirements (MRM, Fair Lending) and generative-AI specialization limit cross-industry transferability.
Requires 8+ years, generative-AI production experience, LLM/RAG expertise and banking MRM knowledge, making filters strict.
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Design, develop, and deploy generative AI models including GPT, GAN, VAEs, and customize or create Retrieval-Augmented Generation (RAG) frameworks for various automation and conversational AI applications especially in operations.
Lead development and deployment of machine learning/deep learning solutions, ensuring performance, scalability, and robustness, while collaborating cross-functionally to translate business requirements into AI solutions.
Mentor junior team members, maintain comprehensive documentation, present project progress to stakeholders, and integrate knowledge of Model Risk Management and Fair Lending guidelines into LLM-based solutions.
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field; Ph.D. is a plus.
8+ years of experience in machine learning and deep learning focused on generative AI solution design and development.
Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
Experience with prompt engineering, building agentic AI/AI agents, APIs for large-scale banking automations, and production deployment of generative models using RAG frameworks.
Experienced leader capable of influencing project outcomes and guiding teams in technical and training capacities within data science and AI contexts.
Deep technical expertise in generative AI, prompt engineering, and applied NLP/NLG, particularly in banking domain automations.
Strong strategic thinker able to handle complex issues with substantial impact, balancing multiple information sources and stakeholder needs effectively.