BlueCross BlueShield of South Carolina

Associate MLOps Engineer

US-AnywhereRemote in Chattanooga, TN
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science or equivalent work experience
  • 2 years of experience in software engineering and analytics technology
  • Proficient in Python or similar programming languages
  • Strong understanding of data engineering concepts
  • Experience handling large datasets and building data pipelines
  • Familiarity with SQL and data visualization tools
  • Exemplary problem-solving and communication skills

Responsibilities

  • Deploying machine learning models into production environments efficiently
  • Monitoring models for performance, detecting issues like model drift
  • Automating the machine learning pipeline including data preprocessing and model training
  • Collaborating with data scientists and engineers to integrate ML models
  • Managing version control for models and ensuring governance compliance
  • Optimizing the performance and scalability of machine learning systems
  • Exploring cloud tools that assist data science use cases

Benefits

  • Fully remote work environment
  • Opportunity for hands-on technical work in MLOps
  • Contribute to the mission of promoting better health
  • Mentorship from experienced MLOps professionals
  • Work with a tax-paying not-for-profit organization
Full Job Description
BlueCross BlueShield of Tennessee is looking for an Associate 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 not 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 BlueCross BlueShield of South Carolina

BlueCross BlueShield of South Carolina is a health insurance company that provides coverage to over 5 million people in South Carolina and beyond. The company was founded in 1946 and is headquartered in Columbia, South Carolina. BlueCross BlueShield of South Carolina 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 of its members and the communities it serves, with initiatives focused on wellness, disease prevention, and access to care. BlueCross BlueShield of South Carolina is a subsidiary of the Blue Cross Blue Shield Association, a national federation of 36 independent, community-based and locally operated Blue Cross Blue Shield companies.
Learn more about BlueCross BlueShield of South Carolina
Size
12,000 employees
Industry

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