Principal Applied Scientist

4 weeks ago


Melbourne, Victoria, Australia Cerner Full time

Job Summary

We are seeking a highly skilled Principal Applied Scientist to lead our AI transformation efforts and drive innovation in Generative AI solutions. As a key member of our team, you will be responsible for shaping the future of AI at Oracle Analytics Cloud (OAC) and developing cutting-edge data analytics applications that set new industry benchmarks.

About the Role

As a Principal Applied Scientist, you will collaborate with product managers to translate business and product visions into innovative AI projects. You will work closely with technical leaders to ensure the seamless and timely delivery of advanced models, while guaranteeing their successful integration into our cutting-edge services.

Responsibilities

  • Collaborate with product managers to translate business and product visions into innovative AI projects.
  • 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, machine learning, and deep learning 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, fostering growth and shaping the next generation of AI leaders.

Requirements

  • Proven experience in designing and deploying scalable AI models for production, with a strong track record of success in real-world applications.
  • In-depth technical expertise in Machine Learning, Deep Learning, and Generative AI architectures, including neural networks, transformers, encoders, and decoders.
  • Hands-on experience with the latest advancements in Large Language Models (LLMs) and generative AI, including parameter-efficient fine-tuning, instruction fine-tuning, advanced prompt engineering, and agent-based technologies.
  • Practical experience with emerging LLM frameworks and tools, such as LangChain, LlamaIndex, VectorStores, Retrievers, LLM Cache, and LLMOps (e.g., MLFlow).
  • A strong commitment to staying up-to-date with the latest developments in AI, leveraging cutting-edge academic research to address complex business challenges.

About Us

Oracle is a world leader in cloud solutions, using tomorrow's technology to tackle today's problems. We are committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency.



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