Senior MLOps Engineer

Job Summary

Collaborating with ML Scientists and DevOps teams, the full-time Senior MLOps Engineer will transform experimental models into reliable production services while maintaining cloud infrastructure and deployment pipelines in a fully remote setting.

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 requests and automation initiatives
• Maintain and enhance model registry and deployment pipelines, implementing safer release practices

Required qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related field with 4+ years of relevant experience
• Solid knowledge of MLOps practices and experience working directly with researchers or ML scientists
• Strong Python skills and solid software engineering fundamentals
• Hands-on experience with cloud platforms (e.g., AWS), infrastructure-as-code (Terraform), and CI/CD tooling
• Experience building and operating production ML pipelines and model registries