Note: The job is a remote job and is open to candidates in USA. Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. The AI/ML Engineer will design, develop, and deploy artificial intelligence and machine learning solutions, including GenAI models, LLM applications, agentic frameworks, and Python inference APIs on Kubernetes. The role also focuses on semantic search, responsible AI, enterprise healthcare data, and continuous improvement of AI/ML pipelines.
Responsibilities
- Design, develop, and validate machine learning models using GenAI (LLMs, agentic frameworks) and traditional ML techniques on cloud platforms
- Write and deploy scalable Python APIs for model inference running on Kubernetes, ensuring efficient containerization and orchestration of agentic flows
- Implement and integrate semantic search capabilities to enhance data accessibility and retrieval for analytics and business intelligence
- Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI
- Evaluate emerging technology trends and best practices to inform solution design, architecture, and strategic innovation
- Leverage enterprise-approved AI tools to streamline developer workflows, automate tasks, and drive continuous software delivery improvement
- Utilize agentic coding and version control tools (e.g., GitHub Copilot, Claude) for efficient code creation, repository management, and technical collaboration
- Maintain rigorous coding standards, thorough documentation, and effective performance monitoring across all deployed AI/ML pipelines
Skills
- • 4+ years of software development, data engineering, or AI/ML experience
- • 4+ years of professional experience in Python using core data science and machine learning libraries (e.g., scikit-learn, Databricks)
- • 3+ years of experience applying machine learning techniques in a commercial enterprise, including supervised/unsupervised learning, time-series forecasting, or statistical analysis
- • 2+ years of experience applying NLP (transformers, GPT) or LLMs (RAG, vector databases, embeddings) in a production setting with large-scale datasets
- • 1+ years of experience building, deploying, and maintaining RESTful APIs for machine learning model inference
- • Bachelor's degree or equivalent experience
- • Strong analytical, quantitative, problem-solving, and critical thinking skills
- • Strong written and verbal communication skills, including the ability to present detailed technical analyses to diverse technical and business stakeholders
- • Experience with vision and speech models in GenAI (multimodal architectures)
- • Background in healthcare data analytics (e.g., claims, eligibility, enrollment) and working within regulated compliance environments
- • Hands-on experience with containerization and container orchestration technologies such as Docker and Kubernetes
- • Experience utilizing AI-assisted developer and coding tools to accelerate software production and technical documentation
- • Demonstrated familiarity with agentic frameworks, Model Context Protocol (MCP), and Agent-to-Agent (A2A) architectures
Benefits
- You'll enjoy the flexibility to telecommute from anywhere within the U.S.
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (all benefits are subject to eligibility requirements)
- Career development opportunities
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