Back
Tier-1 brand, metro location, and specialized generative AI role create moderate candidate competition.
Strong banking MRM and Fair Lending requirements increase sensitivity to industry-specific experience.
Multiple mandatory technical, seniority, and regulatory requirements make shortlisting highly selective.
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 (e.g., GPT, GAN, VAEs) and customize RAG frameworks for operational automation including Conversational AI and Multi-Agent Systems.
Lead model development and deployment efforts in machine learning and deep learning, ensuring performance optimization, scalability, and compliance with Model Risk Management and Fair Lending guidelines.
Mentor junior team members, collaborate with cross-functional teams to translate business requirements into AI solutions, and present findings to stakeholders and management.
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field.
8+ years of experience in machine learning and deep learning focused on generative AI solution design and development.
Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
Experience with building and deploying generative model solutions in production environments, specifically using RAG frameworks.
Deep expertise in generative AI and agentic AI architecture with experience in prompt engineering and large-scale automation within the banking domain.
Operational experience in designing scalable AI pipelines, leading technical teams, and mentoring junior staff in complex AI projects.
Ability to integrate subject matter expertise and align AI solutions with regulatory standards like Model Risk Management and Fair Lending.