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

UnitedHealth GroupEden Prairie, MN
11hHybrid

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 a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization 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 strong 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 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 working with Retrieval-Augmented Generation

Nice To Haves

  • 8+ years of AI/ML Engineering experience
  • Experience with Optical Character Recognition (OCR) for document digitization and data extraction
  • Experience with Intelligent document processing
  • 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.)
  • Deep experience with additional server-side frameworks and technologies such as FastAPI, Node.js, Flask, Django etc.
  • Expert knowledge of Python/SQL and AI/ML libraries (tensorflow/PyTorch/SciKit/Seaborn etc.)
  • Familiarity with telephony systems, including voice processing, speech recognition, and platform integration
  • Proven track record of shipping and maintaining production, enterprise scale AI applications and data science products
  • Proven solid computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
  • All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy

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

Benefits

  • In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements).
  • No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives.
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