Associate MLOps Engineer
BlueCross BlueShield of Tennessee
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
- Python-based backend APIs
- Willingness to follow established patterns and best practices to help move ML solutions from prototype to production
- 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
- Final interviews onsite at our Chattanooga, TN headquarters are required for this role.
- Sponsorship is not available for this role.
- 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.
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.
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