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Tier-1 brand plus metro location increase competition, offset by specialized senior GenAI requirements.
Strong banking-focused GenAI, MRM and Fair Lending requirements make this role highly domain-specific.
Explicit 8+ years, mandatory GenAI/ML production experience and MRM requirements make filters stringent.
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Design, develop, customize, and deploy generative AI models and RAG frameworks for fraud operations and automations in banking domain.
Lead AI solution development including Conversational AI, Multi-Agent Systems, and maintain AI pipelines for training and deployment.
Mentor junior team members, communicate project progress to stakeholders, and ensure compliance with Model Risk Management and Fair Lending guidelines.
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 design and development.
Strong proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, or Keras.
Experience in prompt engineering, building agentic AI / AI agents, and deploying generative models (esp. RAG frameworks) in production for banking domain.
Experienced senior data scientist with significant exposure to fraud prevention and banking domain AI applications.
Capable of independently designing full-scale generative AI solutions and leading cross-functional teams.
Strong strategic mindset for optimizing AI models for performance, scalability, robustness, and regulatory compliance (MRM, Fair Lending).