Join Optum, a global leader in health optimization, and contribute to improving health outcomes through innovative technology. You will be part of a dynamic team dedicated to connecting people with the care and resources they need. Our inclusive culture fosters collaboration with talented peers, offering comprehensive benefits and significant career development opportunities. Advance health optimization on a global scale and make a meaningful impact on the communities we serve.

Develop and deploy sophisticated AI/ML models and algorithms into production environments. Effectively communicate complex analytical findings and insights to leadership and stakeholders. Leverage advanced AI/ML techniques, including NLP, NLU, computer vision, deep learning, and ASR, to solve challenging problems. Apply deep learning for enhanced visualization, learning, and response capabilities in complex scenarios. Adapt machine learning for AI, robotics, and interactive product development. Work extensively with large-scale computing frameworks and data analysis systems. Utilize experimental methodologies, statistics, optimization, probability theory, and machine learning for tool building and analysis using various programming languages.

Requires an undergraduate degree or equivalent practical experience. A minimum of 3 years of professional experience in Natural Language Processing (NLP) is essential. Proven expertise in deploying and managing ML models on cloud platforms like Microsoft Azure, AWS, or Google Cloud Platform (GCP) is necessary, with 3+ years of experience. Candidates should possess 3+ years of experience utilizing cloud-native tools such as Azure Machine Learning, AWS SageMaker, or GCP AI Platform for model lifecycle management (training, deployment, monitoring). Additionally, 2+ years of experience with Retrieval-Augmented Generation (RAG) is required. Preferred qualifications include 8+ years of AI/ML Engineering experience, familiarity with Optical Character Recognition (OCR), Intelligent Document Processing, Dev/Sec/Ops, MLOps, LLMOps, CI/CD tools, and a strong command of Python/SQL and core AI/ML libraries.