Lead AI/ML Software Engineer - Remote

Join Optum AIOptum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.Optum AI Team Members:Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyoneDo ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and developmentPartner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universitiesPrimary Responsibilities:Own the inference and delivery of machine learning insights to multiple customersManage, monitor, and scale machine learning systems, delivering insights to multiple customersPartner with cross-functional engineering teams to implement scalable, flexible pipelines that bring AI innovations into real-world productsWork with large-scale data and distributed computing frameworks to process and analyze high-volume healthcare datasets efficientlyDrive pipeline efficiency and reliability through profiling, refactoring and advanced engineeringDevelop new data pipelines to improve ML model usageYou'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.Required Qualifications:Bachelor of Science in computer science or related quantitative field7+ years of professional software engineering experience, with at least 5+ years building and operating production ML systemsExpert-level Python experience, including writing production-grade, testable, and maintainable codeHands-on experience building and deploying APIs using FastAPI (or similar Python web frameworks) in a production environmentSolid experience deploying, managing, and scaling services in Kubernetes, including:Containerization (Docker)Helm or equivalent deployment toolingResource tuning, autoscaling, and failure recoveryProven experience with MLOps practices, including:Model deployment and versioningMonitoring model performance, drift, and system healthPreferred Qualifications:Experience with AzureML, DataBricks, and Azure KubernetesExperience with distributed computing approachesExpertise in ML Ops, for example, model monitoring, drift detection, and event-based model retrainingProven solid technical communication skillsProven ability and drive to learn independentlyProven problem-solving and analytical thinkingProven ability to explain technical decisions to stakeholders*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.