Machine Learning Engineer

Job Summary

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