AI MLOps Engineer

About this role

BlueCross BlueShield of Tennessee is looking for an AI MLOps Engineer to support data science teams in building, deploying, and operating machine learning solutions at scale. This is a hands-on, individual contributor role focused on technical execution, continuous learning, and collaboration. You will work closely with data scientists and engineers in a modern production environment, with mentorship from experienced MLOps professionals.

What You’ll Bring:

• Experience using Python for scripting, data processing, or supporting machine learning workflows
• Experience working with a cloud-based platform (e.g., AWS, Azure, or GCP) to develop, deploy, or support data or machine learning solutions
• Exposure to CI/CD practices, including Git-based workflows, automated testing, builds, and deployments
• Understanding of the machine learning lifecycle, including experimentation, model versioning, and reproducibility (e.g., MLflow or similar tools)
• Foundational knowledge of data engineering concepts, such as data ingestion, transformation, validation, and storage
• Experience contributing to simple full-stack applications, including:

- Python-based backend APIs
- Basic front-end views or dashboards to display data or model outputs
- Willingness to follow established patterns and best practices to help move ML solutions from prototype to production

Nice to Have

• Familiarity with OpenShift or Kubernetes, and working with containerized applications
• Experience building or maintaining infrastructure-as-code using Terraform (e.g., defining resources and managing environments)
• Exposure to Databricks for data engineering, analytics, or machine learning workflows

Why Join Us?

This fully-remote role is ideal for someone who enjoys hands-on technical work, is eager to develop modern MLOps practices, and wants to contribute to real-world production systems. You’ll be joining a tax-paying not-for-profit organization and your work will directly ...