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Associate MLOps Engineer
JOB SUMMARY
Roles
Job details
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 workflowsExperience working with a cloud-based platform (e. g. , AWS, Azure, or GCP) to develop, deploy, or support data or machine learning solutionsExposure to CI/CD practices, including Git-based workflows, automated testing, builds, and deploymentsUnderstanding 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 storageExperience contributing to simple full-stack applications, including :Python-based backend APIsBasic front-end views or dashboards to display data or model outputsWillingness to follow established patterns and best practices to help move ML solutions from prototype to productionNice to HaveFamiliarity with OpenShift or Kubernetes, and working with containerized applicationsExperience 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 workflowsWhy 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. Job Duties ResponsibilitiesModel 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 ResponsibilityExploring 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 skillsNumber of Openings Available1Worker Type:EmployeeCompany: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/NoticesBlueCross 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.
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 workflowsExperience working with a cloud-based platform (e. g. , AWS, Azure, or GCP) to develop, deploy, or support data or machine learning solutionsExposure to CI/CD practices, including Git-based workflows, automated testing, builds, and deploymentsUnderstanding 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 storageExperience contributing to simple full-stack applications, including :Python-based backend APIsBasic front-end views or dashboards to display data or model outputsWillingness to follow established patterns and best practices to help move ML solutions from prototype to productionNice to HaveFamiliarity with OpenShift or Kubernetes, and working with containerized applicationsExperience 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 workflowsWhy 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. Job Duties ResponsibilitiesModel 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 ResponsibilityExploring 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 skillsNumber of Openings Available1Worker Type:EmployeeCompany: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/NoticesBlueCross 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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BlueCross BlueShield of Tennessee United States
