Senior AI/ML Scientist - GenAI & Prescriptive Analytics

Blue Cross and Blue Shield of North Carolina; Milwaukee (WI); Hybrid; USD 144,000 - 230,000; Full time

Job summary

Blue Cross and Blue Shield of North Carolina seeks a senior AI/ML scientist to identify, research, and build transformational AI solutions that translate data into strategic decisions. You will lead self-learning GenAI systems, collaborate with multidisciplinary teams, and drive production-ready AI across the business.

You will design and test ML algorithms, conduct experiments, and stay ahead of AI advancements to continuously improve models and outcomes in a hybrid work environment.

Qualifications

• Bachelor’s degree or higher in a related field, or equivalent experience.
• 5+ years of experience in AI/ML or related field; 7+ years if no degree.
• Experience delivering production ML/GenAI systems and capabilities.

Responsibilities

• Own delivery of complex ML, DL, and GenAI systems with self-learning capabilities.
• Design, implement, and evaluate AI systems for production use.
• Apply prescriptive analytics to business problems.
• Lead ML experiments, data collection, and performance optimization.
• Stay updated on AI advances and adapt methods to business needs.
• Benchmark methods and identify strengths and areas for improvement.
• Develop prototypes and proof-of-concept AI technologies.
• Lead sessions with business partners to align AI approaches with goals.
• Drive continuous improvement with novel techniques.
• Apply software engineering principles to ML model construction.

Skills

Artificial Intelligence

Benchmarking

Data Analysis

Data Visualization

Deep Learning

Machine Learning

Reinforcement Learning

Prescriptive Analytics

Predictive Analytics

Statistical Models

GenAI

Education

Bachelor’s degree or advanced degree

Job description

Blue Cross and Blue Shield of North Carolina seeks a senior AI/ML scientist to identify, research, and build transformational AI solutions that translate data into strategic decisions. You will lead self-learning GenAI systems, collaborate with multidisciplinary teams, and drive production-ready AI across the business.

You will design and test ML algorithms, conduct experiments, and stay ahead of AI advancements to continuously improve models and outcomes in a hybrid work environment.