Senior Principal Applied Scientist

Oracle-posted 3 months ago

Senior

5,001-10,000 employees

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The Oracle Global Business Unit (GBU) Generative AI team is responsible for leading Generative AI and Agent needs of business applications serving a variety of markets including Finance, Hospitality, Construction and Engineering, Energy & Water etc. Our goal is to enable customers to apply AI to solve their business problems with Oracle's assistance and expertise in Generative AI. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality generative AI and agent features that delight our customers with the confidence that their data are safe and protected.

Develop, implement, and optimize large language models and generative AI technologies, including training/finetuning and computation optimizations.
Collaborate with software engineers to deploy LLM / Generative AI models and Agents into production environments.
Stay up-to-date with the latest advancements in the field of generative AI.
Collaborate with cross-functional teams to drive the development and adoption of LLM and generative AI solutions across various organizations in the company.
Work directly with key customers and accompany them on their AI journey – understanding their requirements, help them envision and design the right solutions and work together with their engineering and data science team to remove blockers and translate the feedback into actionable items for individual service owners.
Design and build solutions and help GBU development teams reach successful pilots, PoCs and feature releases with our AI/Gen AI and DS technologies.
Bring back learnings from these engagements to standardize Generative AI and Agent implementations for efficiency, scale and ease of maintenance.
Support GBU consulting with re-usable solution patterns and reference solutions / showcases that can apply across multiple customers.
Lead patent filings and author papers to show innovative enterprise grade developments.
Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences.

Solid technical background in deep learning, especially natural language processing (NLP) and multimodal models.
Hands-on experience as a data scientist applying AI to solve business problems.
Strong collaboration skills and the ability to work closely with both development and consulting teams.
Passion for innovative products and technologies.

Experience in building state-of-the-art technologies to solve real-world problems.
Ability to evangelize and influence multiple stakeholders without direct authority.

High visibility to senior leadership, as well as technical leaders and partners.
Opportunity to build state-of-the-art technologies in large language models and generative AI at scale.
Close partnership with product managers and software engineers to deploy Generative AI features into products in various business-critical scenarios.

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