Software Engineer - ML Ops

Job Summary

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