The Oracle Global Business Unit (GBU) Generative AI team is looking to solve business problems for various markets including Finance, Hospitality, Construction and Engineering, Energy & Water by enabling customers to apply AI to solve their business problems with Oracle's assistance and expertise in Generative AI.
Requirements
- Strong knowledge of ML fundamentals – supervised vs unsupervised modeling, time series, highly unbalanced and noisy data sets, complex feature engineering, recommendation systems, using and optimizing gradient boosting models, NLP, deep learning on all kinds of unstructured data.
- Proficiency with deep learning frameworks (such as PyTorch or TensorFlow) and deep learning architectures (especially Transformers).
- Hands-on experience with distributed training of large language models.
- Strong development experience of deep learning modeling in Python.
- Familiarity with the latest advancements in LLM and generative AI technologies.
- Familiarity with engineering best practices, including shared codebase, version control, containerization, etc.
- Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories
Responsibilities
- 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.
Other
- PhD, MS in computer science, engineering, mathematics or a field related to deep learning.
- 5+ (for Senior), 7+ (for Principal), 10+ (for Sr Principal) years of work experience including a minimum of 2-year experience in developing large-scale ML solutions, and in particular deep learning solutions in the NLP field.
- Passionate about being a builder and working with talented peers to solve hard problems at scale.
- Good communication skills to convey technical concepts in straightforward terms with product managers and various stakeholders.
- Being enthusiastic, self-motivated, and a great collaborator.
