Staff Machine Learning Engineer - Risk New Singapore
Core
Lead the evolution of the ML platform for payment risk, building production-grade capabilities for feature engineering, model training, deployment, and monitoring.
Role type
Staff Machine Learning Engineer (Risk)
Builds
Production ML infrastructure and models for payment risk detection
Domain
Fintech / Global Payments / Risk Management
Deliverable
production ML models
Required skills
ML engineering, production model ownership, risk/fraud ML systems, real-time low-latency inference, model monitoring, incident response, cross-functional technical leadership, fast-moving environment adaptability
Preferred skills
payments-specific risk signals (chargebacks, dispute networks), ML platform standards establishment, early-stage startup experience
Technologies
Databricks
Responsibilities
Design and build ML infrastructure for payment risk detection; bring structure to the ML environment (pipelines, versioning, orchestration); productionize models with training and drift monitoring; develop automated ML workflows; set technical standards for ML architecture; own operational health of production models
Seniority
Staff, hands-on IC with strategic ownership
