MLOps Engineer 1421

Referral Eligible  

 

Summary: 

We are looking for an exceptional, cleared MLOps Engineer in Chantilly, VA, ready to drive forward an ambitious project focused on revolutionizing machine learning infrastructure deployment and management. The position requires a full scope polygraph. This is an extraordinary opportunity to implement cutting-edge containerization technologies, oversee sophisticated cloud-based ML systems, and champion the latest MLOps methodologies. Your role will be integral in ensuring these innovative systems are highly reliable, scalable, and effective in demanding production environments. Join our team and become a vital contributor to pioneering advancements in the machine learning operational landscape.

 

Salary: 235,000-300,000

 

Responsibilities:

• Implement containerization solutions (Docker, Kubernetes) for managing scalable ML deployments.
• Manage and maintain cloud-based ML infrastructure (AWS, GCP, or Azure).
• Apply MLOps best practices for version control, deployment, and automated testing.
• Collaborate with ML engineers and data teams to ensure efficient and reliable model deployment and monitoring.
• Design and implement custom development solutions as required.
• Continuously monitor infrastructure performance and proactively optimize resource allocation.
• Implement and manage CI/CD pipelines tailored specifically for machine learning workflows.

 

Job Qualifications: 

• Experience in Data Engineering, MLOps, or related fields.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure).
• Experience with containerization tools (Docker, Kubernetes) for scalable deployments.
• Familiarity with MLOps principles and best practices.
• Experience supporting large-scale ML systems in production.
• Ability to design and implement additional custom development as needed.

 

Education/Experience include: 

Bachelor's degree in a related field preferred.

  

Position Type: 

Full time position 

 

Clearance Type: 

Requires a current TS/SCI with FS Polygraph. 

 

AAP/EEO Statement: 

Equal Opportunity Employer – M/F/Disabled/Veteran 

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. 

 

Zapata Technology, Inc. provides reasonable accommodation to applicants who are veterans or who have disabilities and are unable to fully use our company application system. If you need a reasonable accommodation for any part of the application and hiring process, please notify Christina Hall, EEO Coordinator at ChristinaHall@ZapataTechnology.com