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
- Monitor, evaluate, and optimize models for accuracy, scalability, and performance
- 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 perks 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)
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