AI/ML Engineer

Role Overview

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. As an AI/ML Engineer, you will design, develop, and maintain scalable AI/ML solutions and intelligent applications to improve health outcomes and advance health optimization on a global scale.

Responsibilities

• Design, develop, and maintain scalable AI/ML solutions and intelligent applications
• Build and deploy machine learning models and AI services into production environments
• Develop RESTful APIs and microservices using Java, Spring Boot, and Python
• Collaborate with Data Scientists, Product Owners, Architects, and Engineering teams to operationalize AI solutions
• Implement MLOps best practices including model versioning, deployment automation, monitoring, and governance
• Build cloud-native applications leveraging Kubernetes, Docker, and GCP services
• Develop and maintain CI/CD pipelines to enable rapid and reliable software releases
• Evaluate and integrate emerging AI technologies including Generative AI, LLMs, NLP, and Agentic AI frameworks
• Ensure security, scalability, reliability, and performance of AI/ML applications

Requirements

• AI Dojo Certification
• 4+ years experience in software engineering development
• 4+ years of hands-on experience with Java, Spring Boot, Microservices architecture, and Python
• 2+ years of experience in AI/ML engineering, machine learning model development, or Generative AI solutions
• Experience with LangChain, LangGraph, Vertex AI, OpenAI, or similar AI platforms
• Experience with React.js or modern front-end frameworks
• Experience with cloud-native application development and deployment
• Experience with CI/CD pipelines, containerization, and Kubernetes
• Experience working with Google Cloud Platform (GCP) or equivalent cloud platforms

Skills

• Python
• Java
• GCP
• Kubernetes
• Generative AI