AI/ML Engineer - Hybrid Onsite In Eden Prairie, MN

UnitedHealth Group•Eden Prairie, MN

15h•$98,500 - $176,000•Hybrid

About The Position

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. We are looking for a talented and motivated Software Engineer to join our team. The perfect candidate will have experience with LLMs and be skilled in developing and implementing machine learning solutions. You will utilize the LangChain framework to work with both closed source and open source models and apply fine-tuning and Retrieval-Augmented Generation (RAG) methodologies to optimize language models for specific tasks and datasets.

Requirements

Undergraduate degree or equivalent experience
3+ years of proven experience working with Large Language Models (LLMs)
3+ years of experience with machine learning concepts and fine-tuning methodologies
3+ years of professional coding experience in Python, following PEP8 standards
Experience using the LangChain framework
Experience with Retrieval-Augmented Generation (RAG) techniques
Experience with containerization technologies such as Docker
Experience ensuring production-quality code, including thorough testing and documentation
Experience with version control systems such as Git
Solid problem-solving skills and attention to detail
Ability to write clean, maintainable, and efficient code
Comfortable working in the terminal for development and deployment tasks
Authorized to work in the United States without the need for current or future employer-sponsored visa sponsorship (e.g., H-1B, TN, F-1/OPT, CPT, or other employment-based visa status)

Nice To Haves

Healthcare experience
Statistical knowledge

Responsibilities

Develop and implement machine learning solutions using LLMs
Utilize the LangChain framework for working with closed source and open-source models
Apply fine-tuning methodologies to optimize machine learning models for specific tasks and datasets
Write clean, maintainable, and efficient code adhering to PEP8 standards
Utilize containerization technologies such as Docker for development and deployment
Ensure the production quality of code, including thorough testing and documentation
Be comfortable working on the terminal for various development and deployment tasks
Work on traditional machine learning methods like XGBoost for classification tasks and unsupervised learning techniques like K-means