Blue Cross Blue Shield Of Tennessee

AI MLOps Engineer

Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years experience in Python scripting and machine learning workflows
  • Proficient with cloud platforms like AWS, Azure, or GCP for deploying ML solutions
  • Familiarity with CI/CD practices and Git for version control
  • Understanding of the machine learning lifecycle and tools like MLflow
  • Knowledge of data engineering concepts, including data ingestion and transformation
  • Experience building simple full-stack applications with Python backends and front-end displays
  • Adaptable to established best practices for production ML solutions

Responsibilities

  • Ensure efficient deployment of machine learning models into production
  • Monitor model performance and detect issues such as drift
  • Automate the machine learning pipeline for smoother operations
  • Collaborate with data scientists and engineers for model integration
  • Manage version control for models and ensure governance compliance
  • Optimize performance and scalability of ML systems
  • Explore new cloud tools to enhance data science capabilities

Benefits

  • Fully remote work environment
  • Opportunity to develop modern MLOps practices
  • Work contributes to a mission-driven organization
  • Mentorship from experienced MLOps professionals
  • Final interviews conducted onsite in Chattanooga, TN
  • Sponsorship available for qualified applicants
Full Job Description
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 contribute to our mission - peace of mind through better health.

Note
  • Final interviews onsite at our Chattanooga, TN headquarters are required for this role.
  • Sponsorship is available for this role.


Job Duties & Responsibilities
  • Model Deployment: Ensuring that machine learning models are deployed efficiently and reliably into production environments.
  • Model Monitoring: Continuously monitoring the performance of models to detect issues like model drift and ensure they remain accurate and effective.
  • Automation: Automating the machine learning pipeline, including tasks like data preprocessing, model training, and evaluation.
  • Collaboration: Working closely with data scientists, software engineers, and IT operations to integrate machine learning models into business processes.
  • Version Control and Governance: Managing version control for models and ensuring compliance with governance policies.
  • Optimization: Identifying and implementing ways to improve the performance and scalability of ML systems Responsibility
  • Exploring cloud tools and technologies that assist data science with implementing their usecases.


Job Qualifications

Education
• Bachelor's degree in computer science or equivalent work experience required. Equivalent experience is defined as 4 years of professional work experience in a corporate environment.

Experiences
• 2 years - Experience in software engineering and analytics technology (academic experience included)
• Experience handling large datasets to build data pipelines.
• Experience writing SQL and using Data Visualization tools.
• Experience solving complex problems and independently developing solutions.

Skills/Certifications
• Programming: Demonstrated proficiency in languages like Python or similar languages
• Data Engineering: Strong understanding of data processing and storage solutions.
• Problem-Solving: Ability to troubleshoot issues in ML models and infrastructure.
• Ability to work independently with minimal supervision or function in a team environment sharing responsibility, roles, and accountability.
• Excellent oral and written communication skills
• Strong interpersonal and organizational skills

Number of Openings Available
1

Worker Type:
Employee

Company:
BCBST BlueCross BlueShield of Tennessee, Inc.

About Blue Cross Blue Shield Of Tennessee

BlueCross BlueShield of Tennessee is a non-profit health insurance company that provides coverage to more than 3.5 million people. The company was founded in 1945 and is headquartered in Chattanooga, Tennessee. BlueCross BlueShield of Tennessee offers a variety of health insurance plans, including individual and family plans, Medicare plans, and employer-sponsored plans. The company is committed to improving the health and well-being of its members and the communities it serves.
Learn more about Blue Cross Blue Shield Of Tennessee
Size
5,000 employees
Industry
Founded
1945

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