Machine Learning Engineer

A company is looking for a Machine Learning Engineer, Risk & Fraud.

Key Responsibilities

Build and iterate on real-time fraud / risk models to support Risk decisioning

Own the full ML lifecycle for fraud detection models, including data exploration and deployment

Design evaluation strategies for imbalanced data and partner with teams to productionize models

Required Qualifications

3+ years of experience as a Machine Learning Engineer or in a similar applied ML role

Strong Python skills with hands-on experience in building supervised ML models

Proven ability to design and run robust experimentation under real-world constraints

Experience in taking models to production and supporting the full model lifecycle

Solid knowledge of ML metrics and their business implications