Sr AI/ML Engineer Remote - Remote in Eastern Time Zone

Optum / UnitedHealth Group
Eden Prairie, MN / Remote - Remote in Eastern Time Zone

About the job

We are seeking a highly skilled and innovative AI/ML Engineer with deep expertise in Generative AI technologies to develop and deploy cutting-edge solutions within the Pharmacy domain. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and frameworks such as LangGraph and LangChain. Solid proficiency in Python and experience with deep learning frameworks like TensorFlow, PyTorch, or Keras are essential.

Responsibilities

Design, develop, and deploy AI/ML models using GenAI technologies (LLMs, RAG, Agentic AI)

Utilize frameworks such as LangGraph, LangChain, TensorFlow, PyTorch, or Keras for model development

Deploy AI/ML solutions in production environments, preferably on cloud platforms like Azure

Conduct rigorous model testing, validation, and performance optimization

Containerize AI/ML projects and implement CI/CD pipelines using tools like GitHub Actions

Collaborate with stakeholders to preprocess, analyze, and interpret large-scale datasets

Stay current with emerging trends and advancements in generative AI and ML technologies

Ensure code quality and security by identifying and resolving vulnerabilities

Maintain solid programming practices with a focus on Python

Work Eastern Time Zone hours to support collaboration across a global team

Participate in on-call rotations as scheduled

Qualifications

Minimum

Bachelor's degree or equivalent experience in Computer Science, Data Science, or related field

5+ years of industry experience in AI/ML or Data Science

3+ years of hands-on experience with Python and version control tools like GitHub

3+ years of experience deploying AI/ML solutions in production environments

Experience with Git management and CI/CD best practices

Experience in designing high-level cloud architecture and solution designs for AI/ML solutions

Experience with AI/ML projects deployed in Production

Preferred

Certifications in AI/ML or related technologies

Familiarity with cloud platforms (Azure, AWS, Google Cloud)

Experience with deep learning frameworks (e.g., PyTorch, TensorFlow)

Proven knowledge of UAIS and MLRB