The Role
Design, develop, test, and deploy AI/ML solutions: data preparation, EDA, feature engineering, model training, validation, deployment, and monitoring. Build production-grade ML pipelines and cloud infrastructure, collaborate with cross-functional teams, implement Responsible AI practices, and create technical documentation while mentoring peers.
Summary Generated by Built In
Requisition Number: 2376766
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:
Required Qualifications:
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.
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:
- Assist in the design, development, testing, and deployment of AI/ML solutions using Python and modern machine learning frameworks
- Support data preparation, exploratory data analysis (EDA), feature engineering, model training, and validation activities
- Develop and maintain machine learning models using tools such as Scikit-Learn, TensorFlow, or PyTorch
- Collaborate with data engineers and data scientists to build scalable data pipelines and AI-enabled applications
- Participate in model performance monitoring, drift analysis, and continuous improvement of deployed models
- Support implementation of ML workflows, experiment tracking, and model documentation to ensure reproducibility and maintainability
- Work with cross-functional teams to understand business requirements and translate them into AI/ML solutions
- Contribute to the adoption of Responsible AI practices, ensuring fairness, reliability, explainability, and data privacy
- Create and maintain technical documentation, project artifacts, and knowledge-sharing materials
- 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:
- Full time graduation degree
- Proven ability to lead the design, development, and implementation of scalable AI/ML solutions, leveraging Python, SQL, pandas, numpy, and modern ML frameworks (TensorFlow, PyTorch, Scikit Learn)
- Proven ability to oversee end to end ML workflows, from data preparation, feature engineering, EDA, and model development to evaluation, deployment, and continuous monitoring
- Proven ability to guide model selection, optimization, and tuning, ensuring solutions balance performance, explainability, cost, and Responsible AI principles
- Proven ability to build and maintain production grade ML pipelines with orchestration and experiment tracking tools such as MLflow, Feature Stores, ONNX, and vector databases
- Proven ability to lead drift analysis, observability, and model health monitoring to ensure ongoing accuracy, reliability, and robustness in production environments
- Proven ability to design and support scalable, multi cloud ML infrastructure (Azure/GCP primary, AWS optional), incorporating best practices for compute, storage, networking, and distributed data processing
- Proven ability to collaborate with data engineering teams to integrate real time and batch pipelines built on Synapse/BigQuery, Dataflow/Databricks, and Kafka/EventHub/PubSub
- Proven ability to work closely with engineering, product, data science, and UX to translate business requirements into actionable technical solutions and architecture patterns
- Proven ability to review and guide the creation of architecture diagrams, C4 models, ADRs, and technical specifications as part of engineering governance
- Proven ability to mentor and coach data scientists and ML engineers on best practices in model development, experimentation, coding standards, optimization, and cloud native ML deployment
- Proven ability to ensure ML systems meet high standards of scalability, security, reliability, automation, observability, and operational excellence
- Proven ability to collaborate with front end teams where needed to ensure ML components integrate seamlessly with product workflows and user-facing experiences
- Proven ability to stay current with emerging AI/ML tools, frameworks, and research; evaluate applicability to current and future projects
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.
Skills Required
- Full time graduation degree
- Lead design, development, and implementation of scalable AI/ML solutions using Python, SQL, pandas, numpy, TensorFlow, PyTorch, and Scikit-Learn
- Oversee end-to-end ML workflows including data preparation, feature engineering, EDA, model development, evaluation, deployment, and continuous monitoring
- Guide model selection, optimization, and tuning balancing 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 in production
- Design and support scalable multi-cloud ML infrastructure (Azure/GCP primary, AWS optional)
- Collaborate with data engineering to integrate real-time and batch pipelines on Synapse/BigQuery, Dataflow/Databricks, and Kafka/EventHub/PubSub
- Review and guide architecture artifacts (diagrams, C4 models, ADRs) and technical specifications
- Mentor and coach data scientists and ML engineers on best practices, experimentation, and deployment
- Collaborate with engineering, product, data science, UX, and front-end teams to translate business requirements into AI/ML solutions
- Adopt and contribute to Responsible AI practices ensuring fairness, explainability, reliability, and data privacy
- Stay current with emerging AI/ML tools, frameworks, and research and evaluate applicability
Optum Compensation & Benefits Highlights
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Leave & Time Off Breadth — PTO accrues each pay period with eight paid U.S. holidays plus a floating holiday, and generous time away is consistently emphasized. This breadth supports planned and unplanned time off beyond standard vacation days.
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Parental & Family Support — Six weeks of paid parental leave, up to two weeks of paid caregiver leave, Bright Horizons back‑up care, and adoption assistance signal strong family-oriented support. EAP access with counseling sessions further extends help to employees and their households.
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Wellbeing & Lifestyle Benefits — Company‑paid short‑ and long‑term disability, Calm app membership, tuition reimbursement, commuter and FSA accounts, and broad employee discounts expand everyday wellbeing resources. Free or low‑cost virtual visits complement these lifestyle supports.
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The Company
What We Do
Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
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Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.
Typical time on-site:
Not Specified
