Machine Learning Engineer

A company is looking for a Machine Learning Engineer II to join their Fraud & Identity team.

Key Responsibilities

Design and develop machine learning models for enhanced fraud detection and prevention

Architect scalable and real-time solutions for fraud decisioning systems

Collaborate with cross-functional teams to define strategies for identity verification and fraud mitigation

Required Qualifications

Minimum of 2+ years of professional experience in software engineering with a focus on ML modeling development

Proven ability to design and operate complex ML models at scale

Demonstrated leadership skills, including mentoring peers

Strong understanding of fraud detection and security domains

Experience with machine learning systems, particularly in fraud prevention contexts