Description

Experience with Cloud Platforms, especially GCP, and related skills: Docker, Kubernetes, edge computing.
Familiarity with task orchestration tools, such as MLflow, Kubeflow, Airflow, Vertex AI, Azure ML, etc.
Fluency in at least one general purpose programming language, Python preferred. 
Strong DevOps skills: Linux/Unix environment, testing, troubleshooting, automation, Git, dependency management, and build tools (GCP Cloud Build, Jenkins, Bazel, Gitlab CI/CD, Github Actions, etc.).
Data engineering skills a plus, such as Beam, Spark, Pandas, SQL, Kafka, GCP Dataflow, etc.
5+ years of experience, including academic experience, in any of the above.
3+ years of managing a DevOps/MLOps team
 

Key Skills
Education

Any Graduate

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