Chapter Lead AI
Core
Lead the design and delivery of advanced machine learning, Generative AI, and agentic AI solutions for home buying and credit modelling within Retail Banking Services.
Role type
Senior IC machine learning engineer (Generative AI & Credit Modelling)
Builds
Production ML models, Generative AI capabilities (RAG, orchestration, guardrails), and agentic AI systems for banking.
Domain
Banking / Financial Services / Credit Risk
Deliverable
production ML models
Required skills
Machine learning, Generative AI, large language models, Python, statistical methods, model deployment, feature engineering, cloud environments (AWS/Azure), containerisation (Docker), data pipelines, SQL, TensorFlow/PyTorch/R, Spark
Preferred skills
Experience with Retrieval-Augmented Generation, prompt engineering, agentic AI systems, knowledge sharing, stakeholder collaboration
Technologies
Python, Spark, SQL, TensorFlow, PyTorch, R, AWS, Azure, Docker
Responsibilities
Lead design and implementation of ML models for strategic outcomes; Apply statistical methods to complex credit-modelling challenges; Progress models from exploration through validation, deployment, and monitoring; Design and develop Generative AI capabilities including RAG and agentic systems; Identify opportunities to expand AI use across Retail Banking Services; Partner with stakeholders to define problems and translate insights; Establish technical practices for model selection, evaluation, and production deployment.
Seniority
Senior, hands-on IC
