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Google Field Solutions Architect Generative AI Google Cloud 
Germany, Bavaria, Munich 
171334304

04.04.2024

Minimum qualifications:
  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • Candidates will typically have 8 years of experience in technical project management, stakeholder management, solution engineering or technical consulting, and 4 years of experience in technical leadership.
  • Typically 2 years of experience with statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
  • Typically 1 year of experience in technical troubleshooting.
  • Experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition).
  • Ability to communicate in English and German fluently to support English and German speaking clients.

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, ML pipelines, and ML training and serving approaches.