AI MLOps Engineer

BlueCross BlueShield of Tennessee, Inc.; Chattanooga (TN); Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Sponsorship available

Remote-first organization

Job summary

BlueCross BlueShield of Tennessee, Inc. seeks an AI MLOps Engineer to support data science teams in building, deploying, and operating machine learning solutions at scale.

This hands-on role focuses on technical execution, continuous learning, and collaboration with data scientists and engineers in a modern production environment. The position emphasizes deploying models, monitoring performance, and automating ML pipelines, with opportunities to work with OpenShift, Kubernetes, Terraform, and

Qualifications

• Bachelor’s degree in computer science or equivalent work experience.
• 4 years of professional work experience in a corporate environment is considered equivalent.
• Proficiency in Python and data processing for ML workflows.
• Experience with cloud platforms and ML lifecycle tools.

Responsibilities

• Model Deployment: deploy ML models into production environments.
• Model Monitoring: monitor performance and detect drift.
• Automation: automate ML pipelines (preprocessing, training, evaluation).
• Collaboration: work with data scientists, software engineers, and IT operations.
• Version Control and Governance: manage model versioning and governance.
• Optimization: improve performance and scalability of ML systems.
• Explore cloud tools to support ML use cases.

Skills

Python

Cloud platforms

CI/CD

ML lifecycle

Data engineering

Backend APIs

Front-end dashboards

Kubernetes/OpenShift

Terraform

Databricks

Education

Bachelor’s degree in CS or equivalent

Tools

AWS

Azure

GCP

MLflow

OpenShift

Kubernetes

Terraform

Databricks

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.

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.

Applying for this job indicates your acknowledgement and understanding of the following statements: BCBST will recruit, hire, train and promote individuals in all job classifications without regard to race, religion, color, age, sex, national origin, citizenship, pregnancy, veteran status, sexual orientation, physical or mental disability, gender identity, or any other characteristic protected by applicable law. Further information regarding BCBST's EEO Policies/Notices may be found by reviewing the following page: BCBST's EEO Policies/Notices

BlueCross BlueShield of Tennessee is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at BlueCross BlueShield of Tennessee via-email, the Internet or any other method without a valid, written Direct Placement Agreement in place for this position from BlueCross BlueShield of Tennessee HR/Talent Acquisition will not be considered. No fee will be paid in the event the applicant is hired by BlueCross BlueShield of Tennessee as a result of the referral or through other means.

As Tennessee's largest health benefit plan company, we've been helping Tennesseans find their own unique paths to good health since 1945. More than that, we're your neighbors and friends – fellow Tennesseans with deep roots of caring tradition, a focused approach to physical, financial and community good health for today, and a bright outlook for an even healthier tomorrow. At BCBST, we empower our employees to thrive both independently and collaboratively, creating a collective impact on the lives of our members. We seek talented individuals who excel in a team environment, share responsibility, and embrace accountability. We're also seeking candidates who are proficient in the Microsoft Office suite, including Microsoft Teams, organized, and capable of managing multiple assignments or projects simultaneously. Additional, strong interpersonal abilities along with strong oral and written communication skills are important across all roles at BCBST. We foster a culture where innovation is encouraged. That includes using AI enabled tools responsibly to support everyday work — guided by proven workflows, templates, and policies. As roles become more advanced, we expect employees to leverage AI more broadly to transform how we serve members. BCBST is a remote‑first organization with many employees working primarily from their homes. Each position within the company is classified as either fully remote, partially remote, or office based. BCBST hires employees for remote positions from across the U.S. with the exception of the following states: California, Massachusetts, New Hampshire, New Jersey, and New York. Applicants living in these states may move to an approved state prior to starting a position with BCBST at their own expense. If the position requires the individual to reside in Chattanooga, TN, they may be eligible for relocation assistance.