Cloud AI Architect
2 weeks ago
Oracle Analytics Cloud is a leading business analytics and business intelligence platform that delivers a wide range of analytics and reporting capabilities. Our Business Intelligence platform of products provides enterprise-class performance, security, scalability, and manageability, along with innovative features in core analytics. The BI platform is a world-class federated database that enables business applications to query data from multiple heterogeneous systems and perform advanced business analytics.
Drive Innovation with Generative AI
As a Principal Applied Scientist at Oracle, you will play a pivotal role in shaping the future of AI at OAC, leveraging your deep expertise in Large Language Models (LLMs) and Generative AI to realize our visionary solutions. You will collaborate with product managers to translate business and product visions into innovative AI projects that push the limits of data analytics and business intelligence, working closely with technical leaders to ensure seamless and timely delivery of advanced models. You will also coordinate across diverse, multinational teams to drive projects from initial research and proof of concept to full-scale production, ensuring a broad global impact.
Responsibilities:
- Collaborate with product managers to translate business and product visions into innovative AI projects that push the limits of data analytics and business intelligence.
- Work closely with technical leaders to ensure the seamless and timely delivery of advanced models.
- Coordinate across diverse, multinational teams to drive projects from initial research and proof of concept to full-scale production.
- Leverage the latest advancements in Generative AI & LLMs to develop groundbreaking data analytics and business intelligence solutions.
- Design and evaluate AI solutions with a focus on excellence, adhering to best practices in data management, model development, and evaluation.
- Lead and mentor a high-performing team of junior and senior applied scientists.
- Write production-level code while promoting best practices in coding and engineering.
Requirements:
- Proven experience in designing and deploying scalable AI models for production.
- In-depth technical expertise in Machine Learning, Deep Learning, and Generative AI architectures.
- Hands-on experience with the latest advancements in Large Language Models (LLMs) and generative AI.
- Practical experience with emerging LLM frameworks and tools.
- Proven ability in designing data collection and annotation pipelines.
- A strong commitment to staying up-to-date with the latest developments in AI.
Preferred Qualifications:
- Knowledge of AI applications for data analytics and business intelligence.
- Familiarity with advancements in Generative AI/LLMs, Agent technologies.
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