Core Responsibilities

Design, build, and deploy machine learning models for risk use cases such as payment fraud and account takeover. Own production ML systems end to end, including feature pipelines and model serving. Partner with risk strategy teams to translate models into effective production controls and work closely with risk operations teams to improve model explainability.

Requirements

Significant professional experience in machine learning engineering or applied data science. Strong Python skills and hands-on experience with machine learning models. Experience in taking models from prototype to production.

Additional Information

Experience Level

Senior

Employment Type

permanent

Work Mode

Remote