Job Details

divh2Oracle Health AI Principal Applied Scientist/h2pBuilding 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, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. As our Principal Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers./ph3Responsibilities/h3ulliCollaborate with product managers to translate business and product requirements into AI projects./liliCollaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services./liliCoordinate with multinational teams to drive projects from research POC to production./liliDevelop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning./liliDesign and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices./liliLead and mentor both junior and senior applied scientists./liliDevelop production code and advocate for the best coding and engineering practices./liliParticipate in project planning, review, and retrospective sessions./liliIdentify and mitigate risks in our plans and executions, especially at the intersection of business and engineering./li/ulh3Qualifications and Experience/h3pDemonstrated 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. Experienced leading senior scientists and early-career scientists./ph3Preferred Qualifications/h3pKnowledge 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./ph3Education/h3pPhD 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 Bachelors in related field with 5+ years relevant experience./ppOracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to Oracles Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference!/p/div