Sr Machine Learning Engineer

$100,500 - $182,700/Yr

Blue Cross Blue Shield

Full-time - Mid Level

Insurance Carriers and Related Activities

About the position

The Senior Machine Learning Engineer at Blue Cross and Blue Shield of North Carolina plays a crucial role in the enterprise's Data Science MLOps strategy. This position involves collaborating with Data Scientists to automate AI/ML models, focusing on generative AI within the AWS ecosystem. The role is integral to building foundational AI/ML capabilities that serve various business use cases and maintaining best practices for scaling data science solutions from ideation to production.

Responsibilities

• Define and extract data from multiple sources, integrating disparate data into a common data model.
• Document and test complex data systems that make data available to users using scripting and programming languages.
• Improve, deploy, and maintain models prepared by Data Scientists into production-grade cloud systems.
• 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 requirements 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 for data ingestion, cleansing, transformation, integration, and validation.
• Ensure performance and reliability of data processes.
• Document and test data processes including performance through data validation and verification.
• Collaborate with cross-functional teams to resolve data quality and operational issues.
• Develop and implement scripts for database and data process maintenance, monitoring, and performance tuning.
• Analyze and evaluate databases to identify and recommend improvements and optimization.
• Design advanced visualizations to convey information to users.

Requirements

• 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 languages.
• Understanding of ML Algorithms and experience creating and executing efficient MLOps pipelines.
• Familiarity with large language models and implementation of AI solutions in a cloud environment.
• In lieu of a degree, 7 years of relevant experience.