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 advantages 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.

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, La

📌 Senior AI ML Engineer (Hyderabad)
🏢 Optum India
📍 Hyderabad