Customer Engineer II, AI Infrastructure, Google Cloud

Job description

Minimum qualifications: - Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. - 5 years of experience with cloud infrastructure. - Experience building and operationalizing machine learning models. - Experience in delivering technical presentations, leading discovery and planning sessions. Preferred qualifications: - Experience training and fine tuning large models (i.e., image, language, segmentation, recommendation, genomics) with accelerators. - Experience with containerization, Kubernetes, Kubernetes on cloud. - Experience with Machine Learning benchmarks. - Experience designing/architecting large scale infrastructure farms for specialist AI use cases. - Experience with performance profiling tools (i.e., TensorFlow profiler, PyTorch profiler, Tensorboard). - Ability to engage with C-level or executive business leaders and influence decisions. About the job: When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their w...