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Tier-1 brand and metro location increase applicant density, but senior GenAI specialization limits broad competition.
Role requires deep ML/GenAI expertise and banking regulatory knowledge, limiting cross-industry transferability.
Explicit 7+ years, specialized GenAI skills and regulatory (MRM/FL) requirements enforce strict filters.
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Design, develop, and deploy generative AI models and AI solutions, including customizing RAG frameworks and building automation systems in Fraud Operations.
Lead development and deployment of machine learning/deep learning models, optimize for performance and scalability, and maintain AI pipelines and infrastructure.
Mentor junior team members, drive technical guidance, and communicate project progress and findings to stakeholders and management.
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field.
7+ 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.
Strong experience with Prompt Engineering, agentic AI / AI Agents, and RAG frameworks in banking domain automations.
Experienced in building and deploying generative AI models specifically using RAG frameworks in production.
Capable of independently designing AI solutions in complex operational domains like Fraud Operations with cross-functional collaboration.
Able to mentor and lead technical teams with strong communication skills to engage both technical and non-technical stakeholders.