AI/ML Engineer Remote Nationwide or Hybrid in MN/DC

Summary

UnitedHealth Group is a global leader in health care innovation, seeking a talented AI/ML Engineer to develop machine learning solutions. The role involves utilizing advanced technologies like LLMs and LangChain to optimize models and ensure high-quality code.

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

Skills

• 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)
• Healthcare experience
• Statistical knowledge

Qualifications

Must Haves

• 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

Benefits

• A comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution (all benefits are subject to eligibility requirements)