Ml Engineer

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 and operations
• Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/Generative AI where applicable
• Create technical specifications and write high-quality, scalable, supportable code; review code of other engineers and mentor them to ensure all quality KPIs are met or exceeded
• Demonstrate collaborative skills to work effectively with diverse teams
• Possess deep expertise in modern software engineering practices including AI/ML/Generative AI, Agile methodologies, and DevSecOps to deliver daily product deployments using full automation from code check-in to production across the full SDLC lifecycle
• Serve as a role model by leveraging these techniques to optimize solutioning and product delivery
• Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery
• Provide leadership and be accountable for the performance of managers and/or senior-level professional staff
• Drive impact at the operational, local business unit, or market level
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• 14+ years of experience in Software Engineering, Data Science, or Analytics, with 8+ years in AI/ML engineering or related fields and 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
• Proficiency in Python or other programming languages for data analysis and AI/ML development
• Proven expertise in AI/ML techniques including deep learning, natural language processing, computer vision, recommender systems, reinforcement learning, and large language models
• Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts to both technical and non-technical audiences
• Proven solid analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism
• Proven passion for learning and staying updated with the latest AI/ML trends and research

Preferred Qualifications:

• PhD in AI / ML, Engineering, Mathematics, Statistics, or a related discipline
• Experience working with cross-functional and distributed teams in a global and diverse environment
• Experience in mentoring, coaching, and developing AI/ML talent
• Experience in establishing and enforcing AI/ML best practices, standards, and ethics
• Experience in Realizing Value from AI/ML products as well as production ready product
• Proven history of delivering high-impact AI/ML solutions for real-world problems and use cases
• Proven background in healthcare (AI)
• Proven portfolio of AI/ML publications, patents, or awards