Description
Capital One is hiring a Full Stack Engineer 4 - MLOps to own the end-to-end MLOps lifecycle, build scalable ML infrastructure, productionize data pipelines, and deploy research models into production microservices. The role combines software engineering, cloud infrastructure, container orchestration, machine learning, and technical delivery leadership, with a focus on fraud detection and vulnerability management. Candidates need a bachelor's degree or higher in a quantitative field, at least four years of software engineering experience, and experience with public cloud platforms and ML systems. The McLean, Virginia location offers an annual salary of $197,300 to $225,100, and the role is expected to accept applications for at least five business days.
