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Google Field Solutions Architect III Generative AI Public Sector United States, Virginia 8407665
30.04.2024
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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).
- 1 year of 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.
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