AI/ML Engineer- Remote - Eastern Time Zone

Change HealthcareBasking Ridge, NJ
6dRemote

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 an 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. Strong proficiency in Python and experience with deep learning frameworks like TensorFlow, PyTorch, or Keras are essential. This role will involve close collaboration with Pharmacy Operations and Capability teams. On the Operations side, you'll engage directly with Pharmacists to understand and solve real-world challenges. On the Capability side, you'll work with Capability leaders to identify problem areas and co-design AI/ML solutions. You'll also contribute to broader initiatives in Pharmacy Modernization, aligning with organizational goals to leverage emerging AI technologies for reducing manual work, accelerating delivery, and improving Net Promoter Score (NPS). 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.

Requirements

  • Bachelor's degree or equivalent experience in Computer Science, Data Science, or related field
  • 4+ years of experience in AI/ML engineering or Data Science
  • 4+ years of hands-on experience with Python and version control tools like GitHub
  • 3+ years of experience deploying AI/ML solutions in production environments

Nice To Haves

  • Certifications in AI/ML or related technologies
  • Experience with Git management and CI/CD best practices
  • Familiarity with cloud platforms (Azure, AWS, Google Cloud)
  • Familiarity with AI/ML governance, ethics, and responsible AI practices

Responsibilities

  • Apply a solid understanding of Agentic AI concepts and frameworks such as LangGraph and LangChain to design and implement intelligent, autonomous systems
  • Utilize expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Transformer architectures to build scalable and high-performing AI solutions
  • Develop sophisticated generative AI algorithms and models to create new data samples, patterns, or content based on existing datasets and user inputs
  • Build and maintain robust APIs using frameworks such as FastAPI to enable seamless integration of AI services
  • Deploy AI/ML solutions in production environments, preferably on cloud platforms like Azure
  • Implement machine learning and natural language processing projects from concept to production
  • 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

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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