Google is seeking a Technical Solutions Engineer for its Cloud Platform team, focusing on AI/ML to help customers troubleshoot and enhance their cloud solutions. The role involves providing technical support, debugging, and collaborating with clients to ensure effective deployment and performance of their machine learning models
Job Summary
This role involves owning large customer issues and providing level two support to ensure seamless migration to Google Cloud.
You will troubleshoot technical problems across the AI/ML portfolio using Python, Kubernetes, and deep learning frameworks like TensorFlow and PyTorch.
The position requires working directly with customers on production-ready ML deployments including generative AI models to ensure high availability.
Matching Summary
Match Score: 85
Google is seeking a Technical Solutions Engineer for its Cloud Platform team, focusing on AI/ML to help customers troubleshoot and enhance their cloud solutions. The role involves providing technical support, debugging, and collaborating with clients to ensure effective deployment and performance of their machine learning models.
Skills & Requirements
Must-have
Python coding and scripting skills
Troubleshooting ML model issues
Kubernetes and Compute Engine knowledge
TensorFlow and PyTorch debugging
24x7 global support availability
Nice-to-have
Generative AI deployment experience
Strong customer advocacy skills
Documentation improvement capabilities
Entrepreneurial team mindset
Cross-functional collaboration ability
Key Requirements
Proficiency in Python for debugging and scripting
Experience with TensorFlow or PyTorch frameworks
Knowledge of Kubernetes and Compute Engine environments
Ability to diagnose infrastructure-related problems
Strong documentation and investigation tool development skills