Note: The job is a remote job and is open to candidates in USA. UnitedHealth Group is a global leader in health care innovation. They are seeking a Senior AI/ML Engineer to drive digital transformation by designing and deploying scalable AI and machine learning models that 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

Benefits

• A comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution (all benefits are subject to eligibility requirements)

Company Overview