Senior AI/ML Engineer
unitedhealthgroup
Job Description
- Design and Develop ML Models: Research, design, and develop machine learning and deep learning models to address business challenges. This includes everything from selecting the right algorithms to building predictive models from the ground up
- Data Pipeline and Preprocessing: Build and maintain robust data pipelines. You will be responsible for gathering data from various sources, cleaning it, and transforming it into a usable format for model training
- Model Training and Evaluation: Train, test, and validate machine learning models to ensure they are accurate, reliable, and meet business requirements. This involves performing statistical analysis and running experiments to optimize model performance
- Deployment and MLOps: Deploy trained models into production environments and maintain their lifecycle. You will implement MLOps best practices for monitoring, retraining, and updating models to ensure they remain effective over time.
- Collaboration and Innovation: Work closely with data scientists, software engineers, and product managers to integrate AI/ML models into our applications and systems
- Stay Current: Keep up-to-date with the latest advancements in the field of AI, machine learning, and deep learning, and be prepared to apply new research to our products.
- Build Generative AI and LLM Workflows: Design, develop, and optimize LLM-powered applications and agentic workflows - including retrieval-augmented generation (RAG), prompt engineering, tool/function calling, and multi-step orchestration - to deliver production-grade generative AI features
- Ensure LLM Reliability and Evaluation: Establish evaluation frameworks, guardrails, and structured, type-safe output validation to ensure generative AI systems are accurate, safe, cost-efficient, and reliable in production
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so