Principal Applied Scientist
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Key skills for this role
About the Role
Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, w.
Key Skills for This Role
Responsibilities
- Collaborate with product managers to translate business and product requirements into AI projects
- Collaborate with fellow technical leaders to ensure successful and timely delivery of models and integration of services
- Coordinate with multinational teams to drive projects from research POC to production
- Develop new healthcare and enterprise services and features leveraging generative AI, machine learning, and deep learning
- Design and review the architecture of AI solutions, including data, model, training, and evaluation
- Lead and mentor both junior and senior applied scientists
- Develop production code and advocate for best coding and engineering practices
- Participate in project planning, review, and retrospective sessions
- Identify and mitigate risks in plans and executions, especially at the intersection of business and engineering
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 LLM and generative AI technologies (e.g., parameter efficient fine tuning, instruction fine tuning, advanced prompt engineering)
- Hands on experience with LLM frameworks and plugins (e.g., LangChain, LlamaIndex, VectorStores, Retrievers, LLM Cache, LLMOps, MLFlow, LMQL, Guidance)
- Proven experience in designing data collection/annotation solutions and systematic evaluation for production systems
- Strong publication record as lead author or reviewer in top tier journals or conferences
- Experience leading senior scientists and early career scientists
- Knowledge of healthcare and experience delivering healthcare AI models (preferred)
- Familiarity with computer vision and multimodal modeling (preferred)
Full Job Posting
Overview
- Oracle has formed a new organization Oracle Health & AI focusing on product development and product strategy for Oracle Health, building a complete platform supporting modernized, automated healthcare.
- This is a net new line of business with an entrepreneurial spirit, promoting an energetic and creative environment.
- 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.
Responsibilities
- Collaborate with product managers to translate business and product requirements into AI projects.
- Collaborate with fellow technical leaders to ensure successful and timely delivery of models and integration of services.
- Coordinate with multinational teams to drive projects from research POC to production.
- 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.
- Lead and mentor both junior and senior applied scientists.
- Develop production code and advocate for the best coding and engineering practices.
- Participate in project planning, review, and retrospective sessions.
- Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering.
Qualifications and Experience
- 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.
- Strong publication record, including as a lead author or reviewer, in top tier journals or conferences.
- Experienced leading senior scientists and early career scientists.
Preferred Qualifications
- 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.
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