Back
Tier-1 brand plus metro location but niche GenAI and banking MRM requirements reduce broad applicant density.
Strong banking domain (MRM, Fair Lending) and generative AI specialization make cross-industry fit limited.
Explicit 7+ years, mandatory ML/GenAI stack, and banking MRM/FL constraints create stringent shortlisting filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and deploy generative AI models and RAG frameworks for fraud operations and operations automation including Conversational AI and Multi-Agent Systems.
Lead development of machine learning/deep learning solutions, optimize models for performance and scalability, and implement AI pipelines and infrastructure for training and deployment.
Mentor junior team members, collaborate cross-functionally to translate business requirements into AI solutions, and adhere to Model Risk Management and Fair Lending guidelines for LLM-based solutions.
7+ years of experience in machine learning and deep learning with a 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 in prompt engineering, building agentic AI/AI agents, and using RAG frameworks in production; understanding of Model Risk Management (MRM) and Fair Lending (FL) guidelines.
Experienced in building large-scale generative AI solutions specifically for banking domain automation and fraud operations.
Capable of leading technical development while mentoring junior staff and effectively communicating complex AI concepts to non-technical stakeholders.
Strategic thinker who can balance technical innovation with compliance requirements such as MRM and FL in regulated environments.