To support U.S. federal contracts, the full-time remote Software Engineer - ML Ops will design, implement, and deliver scalable features for the Machine Learning Runtime platform, collaborating with Data Scientists and ML Engineers to enhance developer efficiency and streamline operations. Key Responsibilities Develop frameworks and tooling to promote efficiency and innovation in ML Runtime applications Implement and operate distributed systems, including designing, programming, and testing software components Collaborate with cross-functional teams to define requirements and drive technical solutions for ML features Required Qualifications U.S. Citizenship is required 3+ years of DevOps experience, including infrastructure automation and building CI/CD pipelines Proficiency in Python programming and system design Experience with Kubernetes and Docker for scaling development efforts Ability to obtain and maintain a U.S. government-issued security clearance