Blue Cross Blue Shield
posted 3 months ago
Blue Cross and Blue Shield of North Carolina is seeking a Senior Machine Learning Engineer to join their ML engineering team, which plays a crucial role in executing the enterprise's Data Science MLOps strategy and capabilities. This position is pivotal in automating AI/ML models, including traditional data science, machine learning, and generative AI, particularly focusing on GenAI automation within the AWS ecosystem. The AI/ML Center of Excellence (COE) is responsible for building foundational AI/ML capabilities and solutions that cater to various cross-domain business use cases, while also providing thought leadership on the transformative potential of AI/ML for the enterprise. The COE is dedicated to maintaining and enhancing the AI/ML operations environment, as well as establishing standards and best practices to facilitate the scaling of data science solutions from ideation through to production and integration into business workflows. Additionally, the COE fosters a community of practice for data scientists at BCBSNC and develops partnerships with universities and other Blues plans. In this role, the Senior Machine Learning Engineer will be responsible for defining and extracting data from multiple sources, integrating disparate data into a unified data model, and ensuring that data is efficiently integrated into target databases, applications, or files. The engineer will document and test complex data systems that consolidate data from various sources, making it accessible to data scientists and other users through scripting and programming languages. The position also involves improving, deploying, and maintaining models prepared by Data Scientists into production-grade cloud systems, utilizing scalable and efficient machine learning operations pipelines. The engineer will write and refine code to enhance the performance and reliability of data extraction and processing, lead requirements gathering sessions with business and technical staff, and develop advanced SQL queries for data extraction and model construction. Furthermore, the engineer will own the delivery of large, complex data and ML engineering projects, design and develop scalable data pipeline processes, ensure the performance and reliability of data processes, and collaborate with cross-functional teams to resolve data quality and operational issues. The role also includes developing and implementing scripts for database maintenance, monitoring, and performance tuning, as well as analyzing databases to recommend improvements and optimizations. Lastly, the engineer will design advanced visualizations to effectively convey information to users.