Real-Time Fraud ML Engineer

Q2 is hiring a Machine Learning Engineer to strengthen its Risk & Fraud team. You will build production ML systems that detect fraud at scale, impacting trillions of transactions for banks, credit unions, and fintechs.

You will collaborate with data scientists and engineers to turn models into reliable, real-time services, continuously improving performance, latency, and monitoring in production. This applied role emphasizes end-to-end ML pipelines, from data preprocessing to deployment.