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Strong Citi brand and Pune metro but specialized GenAI and banking focus limits applicant pool.
Specialized generative AI and banking fraud/MRM expertise limits cross-industry transferability.
Requires 8+ years, specific generative AI, ML deployment, and banking MRM expertise.
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Design, develop, and deploy generative AI models and RAG frameworks for fraud prevention and operational automations including Conversational AI and Multi-Agent Systems.
Collaborate with cross-functional teams to translate business requirements into scalable, robust AI/ML solutions and maintain AI model training pipelines and infrastructure.
Lead and mentor junior team members, present project progress to management, and ensure compliance with Model Risk Management and Fair Lending guidelines for LLM-based solutions.
8+ years of experience in machine learning and deep learning with focus on generative AI solution design and development.
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field; Ph.D. is a plus.
Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
Experience with Prompt Engineering, building agentic AI/AI Agents, API/MCPs in banking domain, and working knowledge of Model Risk Management and Fair Lending guidelines.
Experienced in applying advanced generative modeling techniques (GPT, GAN, VAEs) at scale in production, especially within financial services or fraud prevention.
Proven ability to customize, fine-tune, and develop Retrieval-Augmented Generation (RAG) frameworks tailored to project needs.
Strong leadership and technical mentoring skills, capable of influencing decisions at project and organizational levels within specialized analytics teams.