Oracle has formed a new organization - Oracle Health & AI, to focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare.
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
- 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.
- 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.
Other
- 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;
- Masters or Bachelor’s in related field with 5+ years relevant experience
- Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
- Range and benefit information provided in this posting are specific to the stated locations only
- Oracle is an Equal Employment Opportunity Employer.
