MLOps Engineer

Job Summary

A company is looking for an Intermediate or Senior MLOps Engineer for the US Federal sector.

Key Responsibilities

• Develop and maintain MLOps platforms using Kubeflow and other ML tools for a unified development experience
• Collaborate with cross-functional teams to deliver scalable and reliable machine learning solutions
• Design and implement cloud-based services and APIs, ensuring security and compliance for machine learning platforms

Required Qualifications

• 5 or more years of industry experience for Intermediate level; 8 or more years for Senior level
• Bachelor's and/or Master's degree in Computer Science or Computer Engineering
• Experience with cloud programming, preferably in Python or Go
• Proficient in building web applications, microservices, and API design
• Experience with cloud infrastructure optimization and CI/CD workflows for machine learning components