Description
Mercury is hiring a Machine Learning Platform Engineer to build and operate the production machine learning platform that supports risk decisioning. The role owns real-time model inference, deployment infrastructure, CI/CD, observability, drift detection, experimentation, and explainability, partnering with Risk Data Science to move models from development through production. The ideal candidate has at least five years of experience in machine learning engineering, backend software engineering, MLOps, or a closely related field, along with Python, model lifecycle, observability, and data-layer experience.
