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Google Customer Engineer Machine Learning Google Cloud United States, California, San Francisco 798133174
26.06.2024
Minimum qualifications:
Preferred qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud native architecture, including experience architecting MLOps solutions for Machine Learning model development and deployment, in a customer-facing or support role.
- Experience with frameworks for deep-learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g., TPUs and GPUs), model architectures (e.g., encoders, decorders, transformers), and using machine learning APIs.
- Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Preferred qualifications:
- Master's degree in Computer Science, or a related technical field.
- Experience in virtualization or cloud native architectures in a customer-facing or support role.
- Experience in architecting and developing software or infrastructure for scalable, distributed systems.
- Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., LLM, deep learning, convolutional networks).
- Experience in data and information management as it relates to big data trends and issues within businesses.
- Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
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