Senior MLOps Engineer

Working fully remote in a full-time capacity, the Senior MLOps Engineer I will transform models from ML Scientists and Data Scientists into reliable production services, focusing on infrastructure, deployment pipelines, and monitoring across various industry verticals. Key responsibilities Partner with ML Scientists and Data Scientists to convert research code into scalable production services Coordinate with DevOps and Software Engineering teams on infrastructure and data pipeline needs, supporting automation initiatives Maintain and improve model registry and deployment pipelines while implementing safer release practices to minimize risk Required qualifications Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or related field, with 4+ years of experience in MLOps or related areas Solid knowledge of MLOps practices and experience working with ML researchers to translate workflows into production services Strong Python skills and experience with major cloud platforms (e.g., AWS), CI/CD tooling, and containerization/orchestration Experience building and operating production ML pipelines, including model versioning and release practices Familiarity with computer vision or geospatial ML pipelines and experience with relational databases and API integrations is a plus