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 deploy scalable end-to-end AI/ML solutions for complex business problems, contributing to a culture guided by inclusion and career development.
Responsibilities
- Design, develop, and deploy scalable end-to-end AI/ML solutions for complex business problems
- Own the full model lifecycle including data preparation, feature engineering, model development, evaluation, and production deployment
- Build and optimize ML pipelines and workflows for scalability, reliability, and performance
- Develop advanced AI solutions using techniques such as NLP, deep learning, predictive modeling, and Generative AI
- Collaborate with product, engineering, and business teams to translate requirements into AI-driven solutions
- Integrate AI/ML models into enterprise applications and production systems
- Implement and manage MLOps practices including CI/CD, monitoring, retraining, and version control
- Monitor, troubleshoot, and continuously improve model performance in production environments
- Contribute to reusable frameworks, libraries, and engineering best practices
- Communicate technical designs, trade-offs, and outcomes clearly to stakeholders
Requirements
- Graduate degree or equivalent experience
- Experience with NLP, Large Language Models (LLMs), or Generative AI use cases
- Experience building enterprise-grade AI systems with solid reliability and governance requirements
- Experience mentoring junior engineers or owning small modules/projects
- Knowledge of Responsible AI practices including fairness, explainability, and bias mitigation
- Familiarity with distributed computing frameworks such as Spark or Ray
Skills
- NLP
- Generative AI
- MLOps
- Spark
- Large Language Models