AI Machine Learning Engineer, Banking

Our client is a leading Financial Institution. Due to business need, they are seeking a AI Machine Learning Engineer in Hong Kong.

Understand and analyse business needs, collect requirements from business users, and translating them into functional solutions.

Participate in functional, technical and design discussion with stakeholders to ensure best practices during implementation

Collaborate with IT teams to productionise the solution from development environment

Manage the data lifecycle and data pipelines, ensuring seamless data flow including ETL processes from source to applications or end-users.

Conduct feasibility studies, proof-of-concepts to recommend appropriate ML/GenAI approaches and platforms.

Responsibilities

Understand and translate business needs into functional solutions.

Develop and implement end-to-end ML solutions, including data ingestion/ETL, feature engineering, model training, validation, deployment, monitoring, and lifecycle management.

Design ML models and GenAI components: containerise services, implement model serving (APIs), CI/CD pipelines, model versioning, automated testing, and scalable deployment patterns.

Establish monitoring and observability for models in production: drift detection, performance alerts, logging, and automated retraining triggers.

Requirements

Degree holder in relevant discipline

over 3 years' experience in ML modeling and data-driven applications

proficiency in Python and ML/data libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas)

Experience in data warehouse and ETL tool in Python, SQL, data orchestrator e.g. Airflow, ML Models and BI tool e.g. Tableau is preferred.

Experience with GenAI solutions involving RAG or agentic workflows, is a plus.

Fluent in English and Chinese

Full-time