This is a greenfield opportunity to design and build new AI native cloud applications from the ground up. We are growing fast, still at an early stage, and working on new initiatives. You will be part of a team of hard-working, motivated, a diverse set of people, and given the autonomy as well as support to do your best work. It is a dynamic and flexible workplace where you’ll belong and be encouraged.

We operate with a startup mindset providing the best of two worlds -- the autonomy to iterate on new ideas, working on cutting-edge technology, while sitting within a stable, larger organization at Oracle. We’re working on big goals, and we need talented folks with equally big ambitions. Join us!

About the Job

We're seeking a highly skilled Data Scientist to modernize OHAI’s Payer product portfolio with AI native applications. As a Data Scientist specializing in AI/ML, you will play a pivotal role in architecting, developing, and deploying state-of-the-art models to power our Payer product suite. You will collaborate closely with cross-functional teams including product managers, software engineers, and data scientists to unlock machine learning capabilities in all our products. Our new platform will be built directly on Oracle Cloud Infrastructure (OCI) based on cloud native principles. We build to scale globally, leveraging state-of-the-art tooling, with zero downtime.

Responsibilities

What You will Make Happen

Design and develop solutions for  medical language learning through language models interpreting health documents like health plans, prior authorization guidelines, patient charts and deriving meaningful insights through summarization, rule generation, etc transforming rules and workflows into knowledge graphs and automate downstream processing Work with Engineering team for training data acquisition and data analysis Follow the process for ML use case evaluation and planning Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval  Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts Fine-tune and optimize large language models such as Cohere for specific use cases in the healthcare. Implement and experiment with cutting-edge NLP, NLU, and NLG techniques to solve various use cases. Collaborate with engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance

About You (Qualifications)

Master's degree or PhD in Computer Science, Engineering, Mathematics, or related experience  4+ years of experience in data science Focus on building and deploying language AI  Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or R. Experience with cloud platforms (e.g., AWS, OCI) and containerization technologies (e.g., Docker, Kubernetes). Solid understanding of NLP fundamentals and experience with NLU/NLG techniques such as sentiment analysis, entity recognition, and text generation. Preference for expertise in developing RAG models, working with vector databases, and fine-tuning large language models. Excellent problem-solving abilities and a pragmatic approach to building scalable and robust machine learning systems. Strong communication skills with the ability to collaborate effectively with cross-functional teams and articulate complex technical concepts to non-technical stakeholders You are comfortable with ambiguity. You have a strong sense of ownership, can define your own workplan, set goals for others, and can drive projects to completion You are excited to learn new technologies and stay on the cutting edge of what’s possible You have taken a product or platform from 0 to 1, you know what it takes to launch something

 

 

 

 

Career Level - IC2