Machine Learning Engineer | Financial Service

You will drive our banking supervision transformation by designing, developing, and deploying production-grade generative AI and machine learning solutions using large-scale financial datasets.

will directly enhance risk identification, data analytics efficiency, and system scalability within a dynamic project team.

Participate in functional, technical, and design discussions with stakeholders to ensure best practices are followed throughout implementation. Collaborate with development teams to productionise AI solutions and transition them from development environments into secure and reliable production environments. Conduct feasibility studies and proofs of concept to evaluate and recommend optimal ML and GenAI approaches for specific banking supervisory use cases.

Design, implement, and maintain end-to-end AI and GenAI solutions, including data ingestion, feature engineering, model training, validation, deployment, monitoring, and lifecycle management, while developing automation scripts for efficient and scalable operations. Productionise ML models and GenAI components by containerising services and implementing model-serving APIs, CI/CD pipelines, model versioning, automated testing, and scalable deployment patterns. Develop LLM-based solutions using modern framework and agentic workflows, with appropriate guardrails.

Requirement Hold a Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline. At le