Sr AI/ML Engineer  - Hybrid in MN or Remote

UnitedHealth Group•Minnetonka, MN

4d•Hybrid

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled AI/ML Engineer with expertise in delivering Natural Language Processing (NLP), Optical Character Recognition (OCR), Machine Learning (ML), and cloud-based AI solutions to join our dynamic team. The ideal candidate will play a pivotal role in transforming our workflows through AI-driven automation and efficiency, particularly in the modernization of fax processes and telephony systems. This role requires a solid technical foundation, critical thinking, ethical judgment, and collaborative skills to drive impactful solutions aligned with organizational goals and societal values. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Requirements

Undergraduate degree or equivalent experience
3+ years of experience working with Natural Language processing
3+ years of experience with Intelligent document processing
3+ years of experience working with Retrieval-Augmented Generation
3+ years of experience with Deploying and manage ML models on cloud platforms such as Microsoft Azure, AWS, Google Cloud Platform (GCP)
3+ years of experience leveraging cloud-native tools like Azure Machine Learning, AWS SageMaker, GCP AI Platform for model training, deployment, and monitoring
2+ years of experience with Optical Character Recognition (OCR) for document digitization and data extraction

Nice To Haves

10+ years of AI/ML Engineering experience
Proven track record of shipping and maintaining production, enterprise scale AI applications and data science products
Expert knowledge of Python/SQL and AI/ML libraries (tensorflow/PyTorch/SciKit/Seaborn etc.)
Deep experience with additional server-side frameworks and technologies such as FastAPI, Node.js, Flask, Django, etc.
Experience working in accordance with Dev/Sec/Ops principles, and familiarity with industry deployment best practices using CI/CD tools, MLOps, LLMOps and infrastructure as code (Jenkins, Docker, Kubernetes, Git etc.)
Solid computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
Familiarity with telephony systems, including voice processing, speech recognition, and platform integration

Responsibilities

Architect, deliver hands-on, mentor & review other team members and deliver on timelines with all dependencies and innovative needs thought out, coordinated with cross-team stakeholders
Work with product management, design, support and other dev teams members to create high-quality solutions
Solve difficult and sometimes ambiguous problems
Be a team player, show due diligence, your own creativity, take team input, own & design deliverables with deep security expertise