Senior AIML Engineer

OptumAI is looking for a Senior Machine Applied Scientists with deep subject matter expertise in text processing, NLU, SLU (Natural language understanding and Spoken Language Understanding) and Computer Vision 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 applied science 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 expert that will tackle intrinsically hard problems, acquiring expertise as needed. The candidate will help decompose complex problems into straightforward solutions. Should bring their design ideas and engage in constructive design discussions involving models, algorithms catering to business problems.
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 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
Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle.
Qualifications - External
Required Qualifications:
Master’s in computer science with 4+ years of industry experience or PhD with 2+years of industry experience in data science, machine learning or a related field
Statistics, Electrical/Electronic Engineering, or another quantitative field
4+ years of experience with Deep Learning Frameworks and Distributed training
3+ years of experience with Machine Learning and Deep Learning modeling
2.5+ years of experience applying computational algorithms and statistical methods to both structured and unstructured data
1.5+ years of experience in GenAI models optimization
1+ years of experience in Agentic AI
Proven excellent communication, writing and presentation skills
Preferred Qualifications:
Experience to mentor and train scientists on complex technical issues
Significant experience in deploying scalable solutions to complex problems, from defining the problem, implementing the solution, and launching the new product successfully
Experience in the health care industry

Work arrangement
No