Oracle Health & AI is a new line of business focused on product development and strategy for Oracle Health, aiming to build a complete platform supporting modernized, automated healthcare. The Principal Applied Scientist will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI, to deliver new Generative AI-powered solutions for healthcare and enterprise customers.
Requirements
- Demonstrated experience in designing and implementing scalable AI models for production.
- Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers.
- Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts.
- Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc.
- Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems.
- Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production.
- Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences.
Responsibilities
- Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning.
- Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices.
- Develop production code and advocate for the best coding and engineering practices.
- Collaborate with product managers to translate business and product requirements into AI projects.
- Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services.
- Coordinate with multinational teams to drive projects from research POC to production.
- Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering.
Other
- Lead and mentor both junior and senior applied scientists.
- Participate in project planning, review, and retrospective sessions.
- PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; OR Masters or Bachelor’s in related field with 5+ years relevant experience
- Knowledge of healthcare and experience delivering healthcare AI models are a significant plus.
- Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus.
