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Google Field Solutions Architect Generative AI Google Cloud Germany, Bavaria, Munich 171334304
04.04.2024
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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.
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