Principal Applied Scientist - Oracle Health And Ai

At Oracle Health and AI (OHAI), we're not just building the future of healthcare applications—we're redefining it.
Our diverse team of visionaries and innovators is at the forefront of cutting-edge AI technology, particularly Generative AI, where creativity meets precision.
As pioneers in this space, we've consistently delivered industry-leading AI solutions, notably for the Oracle Clinical Digital Assistant, solidifying our reputation as trusted leaders in the field.
Now, as we expand rapidly, we're channelling our expertise into transformative Generative AI solutions that promise to revolutionize healthcare for millions.
Operating within a dynamic, agile environment, we enjoy strong backing from senior leadership and have a clear, impactful mission.
Our close partnership with Oracle Cerner enables us to directly influence patient care on a massive scale, driving real change.
As our Principal Applied Scientist, you'll be at the heart of this transformation, shaping the future of AI at OHAI.
Your expertise in Large Language Models (LLMs) and Generative AI will be crucial in bringing our visionary solutions to life, delivering groundbreaking healthcare applications that will set new standards across the industry.
Career Level - IC4 As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems.
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Disclaimer: Oracle is an Equal Employment Opportunity Employer*.
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* Which includes being a United States Affirmative Action Employer Principal Applied Scientist - Generative AI Responsibilities: Partner with product managers to transform business and product visions into groundbreaking AI projects that push the boundaries of what's possible in healthcare.
Work alongside fellow technical leaders to ensure the seamless and timely delivery of sophisticated models, while ensuring their successful integration into our cutting-edge services.
Coordinate with diverse, multinational teams to drive the projects from initial research and proof of concept to full-scale production, ensuring global impact.
Leverage the latest breakthroughs in generative AI, machine learning, and deep learning to create innovative healthcare services and applications that set new industry standards.
Design and review AI solutions with a focus on excellence, employing best practices for data management, model development, and evaluation to ensure the highest quality outcomes.
Lead and mentor a talented team of both junior and senior applied scientists, fostering growth and nurturing the next generation of AI leaders.
Develop production-level code while advocating for the best coding and engineering practices, ensuring robust and scalable AI solutions.
Actively participate in project planning, review, and retrospective sessions, driving continuous improvement and strategic alignment.
Identify potential risks at the critical intersection of business and engineering, and take proactive measures to ensure our plans and executions stay on track.
Qualifications and Experience: Demonstrated experience in designing and deploying scalable AI models for production, with a track record of success in real-world applications.
Deep technical knowledge of Machine Learning and Deep Learning architectures, such as  Transformers, training methodologies, and optimization techniques.
Hands-on experience with the latest advancements in Large Language Models (LLM) and generative AI, including parameter-efficient fine-tuning, instruction fine-tuning, advanced prompt engineering, and Agent technology.
Practical experience with emerging LLM frameworks and plugins such as LangChain, LlamaIndex, VectorStores, Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, and Guidance, showcasing your ability to stay at the forefront of AI technology.
Proven experience in designing data collection and annotation solutions, as well as systematic evaluation processes crucial for developing and maintaining high-quality production systems.
A strong commitment to staying current with the latest advancements in the field, applying cutting-edge academic research to solve complex business challenges, and successfully bringing innovative solutions into production.
A robust publication record, including lead authorship in top-tier journals or conferences, demonstrating thought leadership and a deep understanding of AI research.
Proven experience in leading and mentoring both senior scientists and early-career researchers, fostering a collaborative and innovative team environment.
Preferred Qualifications: Knowledge of the healthcare domain and experience in delivering AI models specifically for healthcare applications are highly desirable.
Familiarity with the latest advancements in computer vision and multimodal modelling is a valuable plus.
Education: A PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics, or a related field, with a dissertation or final project focused on Machine Learning and Deep Learning, and 3+ years of relevant experience is preferred but not mandatory; OR A Master's or Bachelor's degree in a related field with 5+ years of relevant experience is also considered.
Oracle 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 Oracle's Generative AI strategy.
At Oracle, we value diversity and encourage continuous learning for career growth.
Join our team to make a significant difference!
#LI-DNI Responsibilities: Partner with product managers to transform business and product visions into groundbreaking AI projects that push the boundaries of what's possible in healthcare.
Work alongside fellow technical leaders to ensure the seamless and timely delivery of sophisticated models, while ensuring their successful integration into our cutting-edge services.
Coordinate with diverse, multinational teams to drive the projects from initial research and proof of concept to full-scale production, ensuring global impact.
Leverage the latest breakthroughs in generative AI, machine learning, and deep learning to create innovative healthcare services and applications that set new industry standards.
Design and review AI solutions with a focus on excellence, employing best practices for data management, model development, and evaluation to ensure the highest quality outcomes.
Lead and mentor a talented team of both junior and senior applied scientists, fostering growth and nurturing the next generation of AI leaders.
Develop production-level code while advocating for the best coding and engineering practices, ensuring robust and scalable AI solutions.
Actively participate in project planning, review, and retrospective sessions, driving continuous improvement and strategic alignment.
Identify potential risks at the critical intersection of business and engineering, and take proactive measures to ensure our plans and executions stay on track.
Qualifications and Experience: Demonstrated experience in designing and deploying scalable AI models for production, with a track record of success in real-world applications.
Deep technical knowledge of Machine Learning and Deep Learning architectures, such as  Transformers, training methodologies, and optimization techniques.
Hands-on experience with the latest advancements in Large Language Models (LLM) and generative AI, including parameter-efficient fine-tuning, instruction fine-tuning, advanced prompt engineering, and Agent technology.
Practical experience with emerging LLM frameworks and plugins such as LangChain, LlamaIndex, VectorStores, Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, and Guidance, showcasing your ability to stay at the forefront of AI technology.
Proven experience in designing data collection and annotation solutions, as well as systematic evaluation processes crucial for developing and maintaining high-quality production systems.
A strong commitment to staying current with the latest advancements in the field, applying cutting-edge academic research to solve complex business challenges, and successfully bringing innovative solutions into production.
A robust publication record, including lead authorship in top-tier journals or conferences, demonstrating thought leadership and a deep understanding of AI research.
Proven experience in leading and mentoring both senior scientists and early-career researchers, fostering a collaborative and innovative team environment.
Preferred Qualifications: Knowledge of the healthcare domain and experience in delivering AI models specifically for healthcare applications are highly desirable.
Familiarity with the latest advancements in computer vision and multimodal modelling is a valuable plus.
Education: A PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics, or a related field, with a dissertation or final project focused on Machine Learning and Deep Learning, and 3+ years of relevant experience is preferred but not mandatory; OR A Master's or Bachelor's degree in a related field with 5+ years of relevant experience is also considered.
Oracle 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 Oracle's Generative AI strategy.
At Oracle, we value diversity and encourage continuous learning for career growth.
Join our team to make a significant difference!
#LI-DNI