[Remote] Senior AI or ML Engineer - Remote
Note: The job is a remote job and is open to candidates in USA. Optum is a global leader in health care innovation, seeking a Senior AI/ML Engineer to join their Consumer Engineering team. The role involves driving digital transformation through the design and deployment of scalable AI and machine learning models to enhance the consumer healthcare experience.
Responsibilities
- Prioritize and execute tasks in the software development life cycle (SDLC) for AI/ML tools and applications
- Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on the responsible use of AI
- Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
- Develop tools, pipelines, and applications by producing clean, efficient, and scalable code in Python, Core Java, or Scala
- Automate infrastructure provisioning and development operations through appropriate scripting and tools (e.g., Terraform)
- Review, debug, and optimize code to maintain the highest standards of software quality, security, and performance
- Perform validation, performance, and verification testing on deep learning and machine learning models
- Evaluate emerging trends and research in artificial intelligence and machine learning to inform solution design and strategic innovation
- Document development phases, architectures, and monitor deployed AI systems to ensure enterprise-scale reliability
Skills
- Bachelor's degree or 4+ years of equivalent software engineering or data science experience in lieu of a degree
- 5+ years of software development experience with proficiency in Python, Core Java, or Scala
- 3+ years of experience designing, building, and deploying AI/ML models or pipelines into production environments
- 3+ years of experience with cloud platforms (Azure or AWS) and container orchestration using Kubernetes
- 2+ years of experience in data engineering (e.g., GraphQL, database design, and data pipeline construction)
- Experience with infrastructure automation using tools such as Terraform
- Experience utilizing version control systems (e.g., GitHub) for professional team collaboration
- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related technical field
- Experience working with large-scale datasets, data warehousing, and distributed query engines
- Experience establishing continuous integration and continuous deployment (CI/CD) pipelines for ML models (MLOps)
- Knowledge of modern Generative AI, Large Language Models (LLMs), and prompt engineering best practices
- Proven solid analytical, communication, and collaboration skills to bridge technical concepts with business requirements
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Benefits
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (all benefits are subject to eligibility requirements)
Company Overview