Sr AI or ML Engineer - Python, SQL, LLM, Azure Cloud

Requisition Number: 2343482
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Primary Responsibilities:

• Help design and develop the next generation of NLP, ML & AI products, and services for healthcare
• Develop machine learning and deep learning models and systems in domains including, but not limited to: NLP, NLU, NLG, SLU and multidimensional time series forecasting among others
• Be able to Quantize, Optimize GenAI models
• Manage AI, DL, NLP & ML models lifecycle for a suite of products
• Run large complex proof-of-concepts for the healthcare business
• Manage prioritization and technology work for building NLP, ML & AI solutions
• Lead the full end-to-end machine learning development process including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation
• Establish best practices for end-to-end deep learning and machine learning and AI development cycle to ensure rigor in process and quality in outcome
• Work with a great deal of autonomy to find solutions to complex problems
• 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

Required Qualifications:

• Graduate degree or equivalent experience
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
• 9+ years of experience in AI/ML. 10+ years of total IT experience
• Hands-on experience in delivering production-grade AI/ML projects
• Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis
• Knowledge of Math behind ML and DL algorithms
• Solid knowledge of discriminative AI model development and generative AI applications
• Familiarity with Python frameworks such as Flask API and FastAPI
• Exposure to RAG modeling using vector databases (e.g., Milvus, Chroma, FAISS)
• Exposure and expertise in RAG, LangChain, VectorDBs (Productionised models)
• Solid programming skills in Python, with experience in pandas, numpy, and SQL
• Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
• Proven ability to design and architect scalable ML solutions for complex business problems
• Lead Projects: Proven ability to lead ML projects from conception to deployment, ensuring timely delivery and quality
• Mentorship: Proven ability to mentor junior engineers and provide technical guidance to the team
• Research and Innovation: Proven ability to stay updated with the latest research in AI/ML and implement cutting-edge techniques

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.