**Job Description** Blue Cross and Blue Shield of North Carolina has an immediate need for a Senior Machine Learning Engineer. The ML engineering team plays an integral part in delivering on the enterprise's Data Science MLOps strategy and capabilities. Our ML Engineers will work closely with all Data Scientists to ensure AI/ML models are automated, whether traditional data science, machine learning, or generative AI. This role will be key in GenAI automation on the AWS ecosystem. The AI/ML COE builds foundational AI/ML capabilities and solutions that serve multiple cross-domain business use cases and provide thought-leadership on the potential of AI/ML in delivering transformational value for the enterprise. AI/ML COE maintains and matures our AI/ML operations environment, and AI/ML standards & best practices to enable scaling of data science solutions from ideation to prototype, automation, productionization, and integration into business workflows. AI/ML COE also maintains a community of practice for data scientists at BCBSNC and developing partnerships with universities, and other Blues plans. **What You Will Do** + Define and extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes + Document, and test complex data systems that bring together data from disparate sources, making it available to data scientists, and other users using scripting and/or programming languages + Improve, deploy, and maintain models prepared by Data Scientists into production-grade cloud systems using scalable, efficient machine learning operations pipelines. + Write and refine code to ensure performance and reliability of data extraction and processing + Lead requirements gathering sessions with business and technical staff to distill technical requirement from business requests + Develop advanced SQL queries to extract data for analysis and model construction + Own delivery of large, complex data and ML engineering projects + Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation required to provide access to prepared data sets to analysts and data scientists + Ensure performance and reliability of data processes + Document and test data processes including performance of through data validation and verification + Collaborate with cross functional team to resolve data quality and operational issues and ensure timely delivery of products + Develop and implement scripts for database and data process maintenance, monitoring, and performance tuning + Analyze and evaluate databases in order to identify and recommend improvements and optimization + Design advanced eye-catching visualizations to convey information to users **What You Bring** + Bachelor’s degree and 5 years of experience with Data Warehouses and Data Lakes, Big Data platforms and programming in Python, R or other related language. + Understanding of ML Algorithms, experience creating & executing efficient MLOps pipelines, and tuning ML models + Familiarity with large language models and with implementation of AI solutions in a cloud environment + In lieu of degree, 7 years of the experience as stated above. **Salary Range** $100,500.00 - $182,700.00 **About Us** It's an exciting time to work at Blue Cross and Blue Shield of North Carolina (Blue Cross NC). Health care is changing, and we're leading the way. We offer more than health insurance our customers can count on. We’re committed to better health and better health care − in our communities and beyond. Our employees bring energy and creativity to the workplace, and it shows in our innovative approach to improving the health and well-being of North Carolinians. Blue Cross NC is a fully taxed, not-for-profit company headquartered in Durham, North Carolina. We serve more than 4.3 million members, and we employ more than 5,000 people across the country who are passionate about making health care better for all. Help us lead the charge for better health care by joining our award-winning team. Discover tremendous opportunities with us to do challenging and rewarding work. Opportunities that can lead you to a fulfilling career, work that can help others lead healthier, happier lives. **Authorization to Work in the United States** We use E-verify to confirm authorization to work in the United States. To learn more about E-Verify, including your rights and responsibilities, please visit E-Verify Overview (https://www.e-verify.gov/employees/e-verify-overview) for English or Visión General de E-Verify (https://www.e-verify.gov/es/empleados/vision-general-de-e-verify) for Español. **For most roles, you can choose where to work - fully remote in one of the states listed below, in the office, or a hybrid of the two:** Alabama, Arizona, Arkansas, Colorado, Florida, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maryland, Michigan, Mississippi, Missouri, North Carolina, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Wisconsin, and Wyoming