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Field Solutions Architect, Generative AI, Google Cloud

Google

Google

Software Engineering, IT, Data Science
London, UK
Posted on Feb 9, 2024

Minimum qualifications:

  • Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience.
  • Experience in statistical programming language (e.g. Python), applied machine learning techniques, and using Operational Support Systems (OSS) frameworks (e.g., TensorFlow, PyTorch).
  • Experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition).
  • 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 one or more from the following Machine Learning frameworks: TensorFlow, PyTorch, JAX, Spark Machine Learning, etc.
  • Experience training and fine tuning models in large-scale environments (e.g., image, language, recommendation) with accelerators.
  • Experience with CI/CD solutions in the context of Machine Learning Operations and Large Language Model Operations including automation with IaC.
  • Experience with distributed training and optimizing performance versus costs.
  • Experience in systems design with the ability to architect and explain data pipelines, Machine Learning pipelines, Machine Learning training and serving approaches.