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Field Solutions Architect III, Generative AI, Google Cloud

Google

Google

Software Engineering, IT, Data Science
Toronto, ON, Canada · San Francisco, CA, USA
Posted on Jan 26, 2024

The application window will be open until at least January 23, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.

This role may also be located in our Playa Vista, CA campus.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Addison, TX, USA; Chicago, IL, USA; Los Angeles, CA, USA; New York, NY, USA; Reston, VA, USA; Toronto, ON, Canada; Washington D.C., DC, USA; Kirkland, WA, USA.

Minimum qualifications:

  • Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience.
  • 7 years of experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition).
  • Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
  • Experience delivering technical presentations and leading business value sessions.

Preferred qualifications:

  • Master's degree in Computer Science, Engineering, or a related technical field.
  • Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
  • Experience training and fine tuning models in large scale environments (e.g., image, language, recommendation) with accelerators.
  • Experience with distributed training and optimizing performance versus costs.
  • Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using terraform).
  • Experience in systems design with the ability to design and explain data pipelines, ML pipelines, and ML training and serving approaches.