Associate AI or 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:

• Develop, train, and evaluate ML models under guidance of senior engineers
• Implement data pipelines for model training and inference
• Work on feature engineering and model experimentation
• Support deployment and monitoring of ML models
• Perform model performance analysis and documentation
• Collaborate with data scientists, analysts, and product teams
• 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 degree in Engineering (Computer Science, AI/ML, Data Science, or related)
• 2+ years of hands-on AI/ML experience
• Knowledge of Python and ML libraries (scikit-learn, XGBoost, PyTorch/TensorFlow)
• Knowledge of Data preprocessing and feature engineering
• Knowledge of SQL and data handling (Pandas, NumPy)
• Knowledge of Basic MLOps exposure (model versioning, monitoring is a plus)
• Solid understanding of ML fundamentals (supervised/unsupervised learning)
• Solid academic or practical foundation in machine learning
• Proven problem-solving and learning mindset

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.