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 implement machine learning models and data science solutions to solve business problems across structured and unstructured data
• Translate data science prototypes into production ready ML pipelines using robust software engineering practices
• Write clean, efficient, and scalable Python code for data processing, model training, evaluation, and inference
• Work closely with data scientists, product managers, and engineering teams to understand requirements and deliver end to end AI solutions
• Build and maintain containerized ML applications and deploy them on Azure Kubernetes Service (AKS) environments
• Use GitHub for version control, code reviews, pull requests, and collaborative development workflows
• Implement CI/CD pipelines for ML workloads, ensuring reliable and repeatable deployments to cloud environments
• Perform model monitoring, performance tuning, and troubleshooting in production systems
• Apply knowledge of statistics, optimization, and machine learning algorithms to improve model accuracy and scalability
• Document technical designs, code, and deployment processes; communicate results clearly to technical and non technical stakeholders
• Follow enterprise security, compliance, and coding standards while developing and deploying AI solutions
• 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:

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or a related field
• 2+ years of hands on experience working on data science and machine learning projects in a professional or applied setting
• Practical experience with common ML libraries and frameworks (e.g., scikit learn, TensorFlow, PyTorch, or equivalent)
• Experience using GitHub for source control, collaboration, and code management
• Hands-on experience deploying applications or ML models on Azure, with working knowledge of Azure Kubernetes Service (AKS)
• Solid proficiency in Python for machine learning, data analysis, and software development
• Solid understanding of machine learning fundamentals, statistics, and model evaluation techniques
• Familiarity with Docker/containerization concepts for packaging and deploying ML solutions

Preferred Qualifications:

• Exposure to MLOps practices, including model versioning, monitoring, and automated retraining
• Experience working in cross functional, agile teams
• Experience working with cloud based data platforms or large scale data processing systems
• Understanding of CI/CD tools and DevOps workflows in an enterprise environment
• Ability to explain complex ML concepts clearly to non technical stakeholders

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.

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