Job description

Job Details: This position focuses on leveraging AI/ML, particularly Large Language Models (LLMs) and AI/ML solutions to drive medical cost savings and operational efficiency across Optum's Projects. The role involves designing scalable data science solutions and leading innovation in healthcare analytics. Key Responsibilities: LLM Integration: Apply LLMs to enhance analytic methodologies and develop intelligent automation solutions. End-to-End Pipelines: Build and maintain full data science pipelines including ingestion, feature engineering, modeling, deployment, and monitoring. Cross-Functional Collaboration: Work closely with engineering, product, and business teams to align models with strategic goals. Innovation Leadership: Lead initiatives in AI/ML innovation, including foundation models and retrieval-augmented generation. Mentorship: Guide junior data scientists and promote best practices in coding and collaboration. Required Qualifications: 5+ years in predictive modeling, ML, NLP, or deep learning. Strong Python skills and experience with ML libraries (Scikit-learn, PyTorch, TensorFlow, SparkML). 3+ years of SQL experience in distributed data environments. 2+ years working with cloud platforms (AWS, Azure, GCP). 1+ years hands-on with LLM frameworks (e.g., Hugging Face, LangChain, OpenAI APIs). Experience with Apache Spark and Git. Preferred Experience: Healthcare data analytics. AI/ML applications in Healthcare Familiarity with production-grade ML systems and MLOps.

Requirements