Lead AI/ML Engineer

Optum

Posted 2mo ago

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Design, develop, and implement enterprise-scale machine learning systems and artificial intelligence solutions
Design and implement end-to-end MLOps pipelines
Evaluate emerging AI/ML trends, frameworks, and methodologies
Collaborate with cross-functional teams to translate business requirements into AI capabilities
Provide technical leadership, mentorship, and guidance to engineers
Troubleshoot, optimize, and maintain deployed models and pipelines
Use enterprise-approved AI tools to streamline workflows

Bachelor's degree in Computer Science, Engineering, or related quantitative field
10+ years of experience in Software Development industry
2+ years of AI/ML engineering experience
Proven track record of designing, building, and deploying ML models in a production environment
2+ years of experience with Python and core ML libraries
2+ years of experience building and automating end-to-end MLOps pipelines
Experience with cloud platform environments (Azure, AWS, or Google Cloud Platform)
Experience with containerization technologies (Docker, Kubernetes)
Solid knowledge of software engineering best practices
Experience with version control (Git)
Experience with CI/CD pipelines
Experience with unit testing

Experience with Generative AI, Large Language Models (LLMs), prompt engineering, or retrieval-augmented generation (RAG) frameworks
Experience with distributed computing frameworks (Spark, Ray)
Experience with high-performance computing
Experience working in the healthcare sector, specifically in clinical or behavioral health technology domains
Solid understanding of data engineering principles
Solid understanding of relational and non-relational databases (SQL, NoSQL, Vector databases)
Proven excellent communication and presentation skills
Ability to explain complex technical AI/ML concepts to non-technical stakeholders

Skills