Machine Learning Engineer

Q2 is seeking a Machine Learning Engineer to join their Risk & Fraud team. You will build and operate production systems for fraud detection at scale, impacting millions of users and trillions in transactions. This role involves working with data scientists and engineers to deploy, monitor, and improve real-time ML models.

• Build and operate production systems for fraud detection
• Develop and deploy ML models for identity, behavior, and transaction fraud
• Optimize real-time, low-latency ML infrastructure
• Build and maintain systems for ML model training, evaluation, and inference
• Write clean, maintainable, and well-tested code
• Monitor and troubleshoot production ML systems

• No visa sponsorship is available.