AI / ML Engineer / Lead - Gen AI, NLP

Optum AI team members:

OptumAI is looking for a Senior Machine Learning Engineer with deep subject matter expertise in text processing, NLU and SLU (Natural language understanding and Spoken Language Understanding) who will be part of a team leading the technical development and inventions that allow Optum machine learning products drive positive impact in the healthcare business.

Your expertise will bring business and industry context to science and technology decisions. As part of the OptumAI AI/ML engineering group, you set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your code, designs and documents are exemplary and are used as references across the organization.

A successful candidate is a hands-on AI/ML engineering expert that will tackle intrinsically hard problems, acquiring expertise as needed. The candidate will help decompose complex problems into straightforward solutions.

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
• Exposure in RAG, LangChain, VectorDBs
• Ability to Quantize, Optimize GenAI models
• Manage 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 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