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 is responsible for enhancing the enterprise's Data Science MLOps strategy by automating AI/ML models and ensuring their integration into business workflows. This role focuses on GenAI automation within the AWS ecosystem and involves collaboration with Data Scientists to build foundational AI/ML capabilities that serve various business use cases. The position requires a strong emphasis on data integration, model deployment, and maintaining high standards for AI/ML operations.

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.