Architect, Applied Scientist (reasoning Platform, AI Lead)

Oracle Oracle · Enterprise · United States

This role focuses on architecting and leading the applied science execution for Oracle's Data & AI Platform, driving the development and deployment of state-of-the-art machine learning solutions for enterprise customers. The role involves building cloud services, leading integration and alignment of AI strategies, and providing technical leadership to productionize research findings, with a strong emphasis on applied research for core products and services.

What you'd actually do

  1. Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems.
  2. Build prototypes and explore conceptually new solutions.
  3. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations.
  4. Applies data science capabilities and research findings to create and implement solutions to scale.
  5. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers.

Skills

Required

  • Machine Learning
  • Applied Research
  • Cloud Services Development
  • Data Science
  • Model Development
  • Experiment Design
  • Technical Leadership
  • Cross-functional Collaboration

Nice to have

  • Decision Support
  • Anomaly Detection
  • Forecasting
  • Recommendations
  • Natural Language Processing (NLP)
  • Natural Language Understanding (NLU)
  • Time Series Analysis
  • Automatic Speech Recognition (ASR)
  • Computer Vision (CV)
  • Risk Optimization
  • Profitability Optimization
  • Customer Experience Optimization
  • Ethical AI Considerations

What the JD emphasized

  • state-of-the-art machine learning
  • applied research
  • applied science execution
  • technical leadership
  • machine learning and deep learning

Other signals

  • Develops models, prototypes, and experiments that pave the way for innovative products and services.
  • Build cloud services that work out of the box for enterprises
  • Drives Data & AI Platform applied science execution.
  • Provides scientific and technical leadership and guidance to implement research direction to production.
  • Partner with engineering and product management leaders to deliver new services and features that leverage machine learning and deep learning.