Associate AI ML Engineer

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.

Primary Responsibilities:

• Builder Responsibilities:
  • Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• 7+ years of experience leading end-to-end Machine Learning (ML) and Deep Learning (DL) initiatives, from problem definition to production deployment
• Practical experience working with Large Language Models (LLMs) for text processing and conversational AI solutions
• Hands-on expertise with modern deep learning frameworks including TensorFlow and PyTorch
• Familiarity with Retrieval-Augmented Generation (RAG) architectures and AI agent-based systems
• Solid understanding of data preprocessing, feature engineering, and robust model evaluation techniques
• Solid proficiency in Python, with hands-on experience in libraries such as Pandas, NumPy, and Scikit-learn
• Proven ability to design, build, tune, and deploy scalable ML models in production environments
• Proven solid analytical, problem-solving, and communication skills with the ability to collaborate across cross-functional teams

Preferred Qualification:

• Experience working with major cloud platforms such as AWS, GCP, or Azure

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.