Field Solutions Developer III, Generative AI, Google Cloud

Job Category: Developer
Job Type: Full Time
Job Location: Canada
Company Name: Google

We are looking for a Field Solutions Developer III to join our team

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.

Responsibilities

  • Be a trusted advisor to our customers by understanding the customer’s business process and objectives. Design Generative AI-driven solutions, spanning AI, Data, and Infrastructure, and work with peers to include the full cloud stack into overall architecture.
  • Demonstrate how Google Cloud is differentiated by working with customers on application prototypes, demonstrating Generative AI features, prompting and tuning models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues in Generative AI applications.
  • Build repeatable technical assets such as scripts, templates, reference architectures, etc. to enable customers and internal teams.
  • Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
  • Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement. Travel as needed.

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