Oracle · 1 day ago
Principal Data Scientist - Oracle Health Applications & Infrastructure
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Data GovernanceData Management
No H1BSecurity Clearance Required
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Responsibilities
Design and develop solutions for
Medical language learning through language models
Medical code and group code (per various specifications) using large language model
Contract interpretation
Transforming rules and workflows into decision tree using deep learning ML models
Risk detection/anomaly detection using deep learning ML model
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.
Qualification
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Required
Master's degree or PhD in Computer Science, Engineering, Mathematics, or related experience
8 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
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’ve taken a product or platform from 0 to 1, you know what it takes to launch something
Preferred
Preference for expertise in developing RAG models, working with vector databases, and fine-tuning large language models
Company
Oracle
Oracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions.
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
Sequoia Capital
1986-03-12IPO
1983-01-01Series Unknown
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