The goal is to enable data scientists, ML engineers, and product teams to develop, train, deploy and operate AI and data workloads at scale, securely and in a fully automated way
Job Summary
The goal is to enable data scientists, ML engineers, and product teams to develop, train, deploy and operate AI and data workloads at scale, securely and in a fully automated way.
Deliver platform features using managed GCP services in support of AI/ML workloads, including BigQuery, Vertex AI, Dataproc, Dataflow, Cloud Composer, Cloud Run, and GKE.
We want to make sure that it’s possible for you to strike the right balance between your career and your private life.
Matching Summary
The goal is to enable data scientists, ML engineers, and product teams to develop, train, deploy and operate AI and data workloads at scale, securely and in a fully automated way.
Skills & Requirements
Must-have
GCP-based analytics and AI platform
managed GCP services for AI/ML
infrastructure-as-code with Terraform
CI/CD pipelines with Azure DevOps
monitoring, logging, and alerting
Nice-to-have
engineering-heavy environment
informal working environment
innovative colleagues
personal growth and challenging work
Key Requirements
Minimum 7 years of technical engineering experience