MLOPs engineers 100% REmote

Job Family: Data Science & Analysis Travel Required: Up to 25% Clearance Required: Active Secret What You Will Do: As an MLOps Engineer, you will design, implement, and support the platforms, pipelines, and operational processes that enable scalable, secure, and reliable deployment of machine learning solutions for federal clients. You will partner closely with data scientists, AI engineers, data engineers, and government stakeholders to operationalize models across development, testing, and

Job Title: Data / ML Ops Engineer Job Description: The backbone that keeps AI running. Manage data pipelines, model deployment, monitoring, and infrastructure automation to ensure reliable, scalable ML in production. Key Requirements: 4+ years in DevOps, Data Engineering, or MLOps Strong experience with Docker, Kubernetes, and CI/CD (GitHub Actions, GitLab CI) Hands-on with MLflow, Kubeflow, Airflow, or Prefect Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and IaC (Terrafor

Job Title: ML Engineer(MLOps)Location:Atlanta, GA (Remote)Employment Type:FulltimeExperience: 8+ YearsMust have skills:MLE and Productionization experienceMLOPSProbability ModellingGoogle Cloud Platform, Python and DS conceptsExperience on Product combinability modelling (desirable but not required)

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. Optum AI is U