Vacancy caducado!
Google Cloud Platform Engineer (ML And DevOps) - 100% Remote 5 to 10 years of experience in Cloud Infrastructure Engineering and Support 5 years' experience in building and managing distributed training and learning infrastructures and ML pipelines Experience designing, deploying, and administering a Kubernetes cluster for Data Science projects 1-3 years of strong experience with Google Cloud Platform services - GCE, GKE, Storage Must understand the Scrum Agile methodology and have worked on a Scrum team Strong experience in Python, Kubernetes and Airflow or its equivalent.
Vacancy caducado!