Optum is looking for an AI/ML Engineer to code and develop software that deploys machine learning models into production. You'll apply AI/ML technologies including NLP, NLU, computer vision, deep learning, and ASR to give computers the capability to visualize, learn, and respond to complex situations, working with large-scale computing frameworks and data analysis systems.

What You'll Do

Drive responsible use of AI/ML adoption across the team, driving innovative use of both Generative AI and traditional ML techniques
Design, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needs
Build responsible AI solutions and service components to support the Provider community, ensuring compliance with ethical and regulatory standards
Develop new features leveraging AI/ML, including Generative AI models, predictive analytics, and automation capabilities
Provide technical leadership for AI initiatives, including Chatbots and conversational AI solutions
Partner with product management, architects, and engineering leadership to deliver creative, scalable AI solutions for healthcare challenges
Drive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practices
Accountable for high-quality software deliverables and operational excellence
Mentor and train team members on AI/ML technologies, frameworks, and responsible AI practices
Collaborate with broader engineering teams to integrate AI into cloud modernization efforts and digital-first initiatives
Exercise independent judgment to prioritize, plan, and manage AI-related activities and projects

What We're Looking For

7+ years experience in Python
4+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional ML models
Solid experience with Chatbots, conversational AI, and NLP-based solutions
4+ years of experience with Web and API development
4+ years of experience hosting applications in cloud environments (AWS preferred)
Solid knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations

Nice to Have

B.Tech in Computer Science, Engineering, or related technical field (or equivalent experience)
Experience in the healthcare industry
Full-stack engineering experience