Senior Machine Learning Engineer
Core
Design, implement, and scale production-grade data and machine learning pipelines to protect against fraud, payment risk, and abuse, enabling explainable decision-making across financial and operational flows.
Role type
Senior Machine Learning Engineer (Fintech Risk)
Builds
Production ML systems, ETL and feature engineering pipelines, and decisioning systems for risk and payment applications.
Domain
Fintech / Gaming / Fraud Detection / Payment Risk
Deliverable
production ML models
Required skills
Python application development, SQL and data modeling, software engineering fundamentals (OOP, testing, version control), ML Ops frameworks (model registry, orchestration, feature stores), data pipeline construction, ML lifecycle management, production debugging
Preferred skills
Master's degree in Computer Science or Machine Learning
Technologies
Python, SQL
Responsibilities
Design and maintain ETL and feature engineering pipelines; develop production ML systems from training through deployment and monitoring; partner with data scientists to productionize models; build reliable data workflows; establish observability and monitoring for data quality and model drift; participate in code reviews and incident response; mentor junior engineers; support on-call rotations
Seniority
Senior, hands-on IC