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Job Description
- Troubleshoot and resolve technical issues across the Google Cloud AI/ML portfolio, focusing on customer-reported, deployment failures, model performance degradation and infrastructure-related problems.
- Work directly with customers on their ML deployments, including generative AI models to ensure production readiness and high availability.
- Utilize coding and scripting skills (primarily Python) to read, debug, and reproduce customer issues within their ML models (TensorFlow, PyTorch) or deployment environments (Kubernetes, Compute Engine).
- Manage customer problems through effective diagnosis, clear documentation and the development, implementation of new investigation tools to increase diagnostic speed.
- Develop an understanding of Google Cloud's AI/ML solutions and share this knowledge to upskill the wider global support organization.