Optum hiring Director, AI ML Engineering

Primary Responsibilities: Develop novel machine learning models for prediction of health outcomes and improved care, engagement models, and other applications from both structured and unstructured data Develop and execute the vision for engineering platforms, and reusable code that will be used by thousands of other engineers for automation and improved efficiency of AI/ML development Stay up to date with latest technologies and literature recommending solutions to improve business goals Mentor data scientists, AI/ML scientists, and engineers to ensure the delivery of the AI/ML projects, and provide guidance on how to best use specific tools or technologies to achieve the desired results Collaborate with cross-functional teams to determine applicability of AI to business problems Closely collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with the company policies and standards Write both internal and external documentation of the novel algorithms, including patents and publications in machine learning and other scientific conferences and journals as well and/or infrastructure design and deployment procedures Evangelize the benefits of the AI models and platforms built in our team to drive adoption for employees and functional roles across the UHG enterprise including technology, operations, marketing, legal, compliance, people team, internal infrastructure, and more You’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: Masters degree in Computer Science, Math, Statistics, or a related field and 10+ years experience OR a PhD in Computer Science or a related field and 5+ years experience 3+ years experience focused on AI/ML/NLP solutions delivery 5+ years of experience experience leading and implementing AI/ML projects from ideation to delivery, evaluation, and maintenance in production Hands-on experience implementing AI/ML and/or NLP solutions Proven experience in Python and AI/ML frameworks and tools (e.g., MLFlow, TensorFLow, PyTorch) Experience developing and deploying data pipelines, machine learning models, or applications on cloud platforms (e.g., Azure, AWS, Databricks, AzureML) Experience with Gen AI solution pipelines (e.g., RAG) and Large Language Modeling and Transformer Architec...