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
Lead the design, development, and implementation of scalable AI/ML solutions, leveraging Python, SQL, pandas, numpy, and modern ML frameworks (TensorFlow, PyTorch, Scikit Learn)
Oversee end to end ML workflows-from data preparation, feature engineering, EDA, and model development to evaluation, deployment, and continuous monitoring
Guide model selection, optimization, and tuning, ensuring solutions balance performance, explainability, cost, and Responsible AI principles
Build and maintain production grade ML pipelines with orchestration and experiment tracking tools such as MLflow, Feature Stores, ONNX, and vector databases
Lead drift analysis, observability, and model health monitoring to ensure ongoing accuracy, reliability, and robustness in production environments
Design and support scalable, multi cloud ML infrastructure (Azure/GCP primary, AWS optional), incorporating best practices for compute, storage, networking, and distributed data processing
Collaborate with data engineering teams to integrate real time and batch pipelines built on Synapse/BigQuery, Dataflow/Databricks, and Kafka/EventHub/PubSub
Work closely with engineering, product, data science, and UX to translate business requirements into actionable technical solutions and architecture patterns
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, Data Science, Statistics, or a related field
12+ years of experience in Data Science, AI/ML, or a similar role, with 2+ years in leadership roles
Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis
Hands-on experience in delivering production-grade AI/ML projects
Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorc
Solid programming skills in Python, with experience in pandas, numpy, and SQL
Solid understanding of mathematical and statistical concepts
Proven excellent problem-solving and analytical thinking skills
Proven solid communication and collaboration skills to work effectively in a team environment
Preferred Qualification
Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.)
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.

Work arrangement
No