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AI MLOps Engineer

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BlueCross BlueShield of Tennessee seeks an AI MLOps Engineer to build, deploy, and operate machine learning solutions at scale. The role involves hands-on technical execution, continuous learning, and collaboration with data science teams. Key requirements include Python proficiency, cloud platform experience, CI/CD practices, and understanding of the ML lifecycle.

Key Highlights
Hands-on MLOps for production ML systems
Python and cloud platform expertise required
CI/CD and model lifecycle management
Fully remote with onsite final interviews
Key Responsibilities
Model deployment into production environments
Continuous monitoring of model performance and drift
Automation of ML pipelines including data preprocessing, training, and evaluation
Collaboration with data scientists, software engineers, and IT operations
Version control and governance for models
Optimization of ML system performance and scalability
Technical Skills Required
Python Cloud platform (AWS, Azure, GCP) CI/CD and Git-based workflows ML lifecycle and model versioning
Benefits & Perks
Fully remote work
Visa sponsorship available
Onsite final interviews in Chattanooga, TN
Nice to Have
OpenShift or Kubernetes experience
Terraform for infrastructure-as-code
Databricks exposure

Job Description

BlueCross BlueShield of Tennessee is looking for an 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.
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