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Field Solutions Architect, Generative AI

Google

Google

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

Minimum qualifications:

  • Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  • 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.
  • Experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition).

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 architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches.

This job is no longer accepting applications

See open jobs at Google.