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:**

• Design, develop, and deploy machine learning models and AI solutions in production environments
• Work with large datasets, including data cleaning, preprocessing, and feature engineering
• Implement machine learning algorithms using frameworks such as TensorFlow, PyTorch, or similar tools
• Collaborate with data scientists and engineers to integrate AI capabilities into applications and systems
• Monitor, evaluate, and optimize models for accuracy, scalability, and performance
• Apply AI techniques such as NLP, computer vision, or deep learning based on business use cases
• Document experiments, model configurations, and deployment processes
• Communicate technical findings and insights to stakeholders in a clear and structured manner
• Stay up to date with emerging AI/ML trends including Generative AI and Large Language Models
• 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:**

• Graduate degree or equivalent experience

Experience building end\-to\-end ML pipelines (data model* deployment)

• Experience in domain\-specific applications such as healthcare, customer service, or automation
• Knowledge of MLOps practices (CI/CD, model monitoring, versioning)
• Familiarity with cloud platforms such as Azure, AWS, or GCP
• Understanding of Responsible AI principles, including fairness, bias mitigation, and model explainability
• Proven exposure to Generative AI, LLMs, or deep learning techniques

• 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.*