AI MLOps Engineer

bcbst; Chattanooga (TN); Remote; USD 120,000 - 160,000; Full time

Job summary

BlueCross BlueShield of Tennessee is seeking an AI MLOps Engineer to build, deploy, and operate machine learning solutions at scale in a fully remote role. You will collaborate with data scientists and software engineers in a modern production environment, following established patterns to move prototypes to production.

The role emphasizes hands-on implementation, continuous learning, and mentorship from experienced MLOps professionals within a tax‑paying not‑for‑profit organization.

Qualifications

• Bachelor’s degree in computer science or equivalent work experience.
• 2 years - Experience in software engineering and analytics technology.
• Experience handling large datasets to build data pipelines.
• Experience writing SQL and using Data Visualization tools.
• Experience solving complex problems and independently developing solutions.

Responsibilities

• Model Deployment: Deploy ML models into production environments.
• Model Monitoring: Monitor models for drift and accuracy.
• Automation: Automate ML pipeline steps like preprocessing and training.
• Collaboration: Work with data scientists, software engineers, and IT operations to integrate models into business processes.
• Version Control and Governance: Manage model versions and governance policies.
• Optimization: Improve performance and scalability of ML systems.
• Exploring cloud tools to support data science use cases.

Skills

Python

Cloud platforms

CI/CD

ML lifecycle

Data engineering

APIs & dashboards

Collaboration

Education

Bachelor’s degree in computer science or equivalent

Tools

Terraform

Kubernetes/OpenShift

Databricks

MLflow

SQL

Data Visualization tools

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 usingPython for scripting, data processing, or supporting machine learning workflows
• Experience working with acloud-based platform (e.g., AWS, Azure, or GCP) to develop, deploy, or support data or machine learning solutions
• Exposure toCI/CD practices, including Git-based workflows, automated testing, builds, and deployments
• Understanding of themachine learning lifecycle, including experimentation, model versioning, and reproducibility (e.g., MLflow or similar tools)
• Foundational knowledge ofdata engineering concepts, such as data ingestion, transformation, validation, and storage
• Experience contributing to simplefull-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 withOpenShift or Kubernetes, and working with containerized applications
• Experience building or maintaininginfrastructure-as-code using Terraform (e.g., defining resources and managing environments)
• Exposure toDatabricks 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.

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 following event the applicant is hired by BlueCross BlueShield of Tennessee as a result of the referral or through other means.