Data Analytics Engineer

7 days ago

Melbourne, Victoria, Australia Oracle Full time

Oracle Analytics Cloud Job Description

We are seeking a talented Senior Applied Scientist to join our team in developing cutting-edge AI solutions for data analytics and business intelligence. As a key member of our team, 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.

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 and large language models 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.
  • Take an active role in project planning, reviews, and retrospectives, driving continuous improvement.
  • Proactively identify and mitigate risks at the critical intersection of business 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 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.
  • A robust publication record, including lead authorship in top-tier journals or conferences.

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