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. This role involves collaborating with Data Scientists to automate AI/ML models, focusing on GenAI automation within the AWS ecosystem. The position is pivotal in building foundational AI/ML capabilities that serve various business use cases and in maintaining the AI/ML operations environment, ensuring best practices are followed for scaling data science solutions.

Responsibilities

• Define and extract data from multiple sources, integrating disparate data into a common data model.
• Document and test complex data systems that consolidate data from various sources for user access.
• 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 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 optimizations.
• 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, including tuning ML models.
• Familiarity with large language models and implementation of AI solutions in a cloud environment.
• In lieu of a degree, 7 years of relevant experience.