Lead AI ML Engineer

Requirements

• Job Summary: We are looking for a Lead AI/ML Engineer to code and develop software that deploys ML models and algorithms into production.
• The role employs AI and/or ML techniques that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR).
• The engineer applies deep learning technologies to enable computers to visualize, learn, and respond to complex situations, and may adapt machine learning to areas such as artificial intelligence, robotics, and interactive user experiences.
• The role is expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning using code for tool building and statistical analysis, using both general purpose software and statistical languages. Primary
• Responsibilities: Develop and implement AI and machine learning strategies across several healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Develop and maintain solid relationships with stakeholders, customers, and partners internally and externally Represent Consumer Engineering work and teams across Optum global leadership Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance
• Qualifications: Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline 14+ years of
• experience in Software Engineering, Data Science, or Analytics, with at least 8 years in AI/ML engineering or related fields and the last 3 years focused on Generative AI technologies including OpenAI, Claude, Gemini, LangChain, Agents, RAG, Vector Databases, Prompt Engineering, and fine-tuning
• Experience with AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, and Scikit-learn
• Experience with cloud platforms such as AWS, Azure, and GCP
• Experience with DevOps and CI/CD tools and practices including Git, Jenkins, Docker, and Kubernetes Demonstrated
• experience leading and managing AI/ML teams and projects from ideation to delivery and evaluation Hands-on
• experience in AI and driving the development of innovative AI and machine learning solutions Proven expertise in AI/ML techniques including deep learning, natural language processing, computer vision, recommender systems, reinforcement learning, and large language models Proficiency in Python or other programming languages for data analysis and AI/ML development Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts to both technical and