JOB DESCRIPTION• Mandatory Experience in Terraform, GCP infrastructure, CI/CD deployment, Artifactory registry and containerisation• Design, build applications using containerization and orchestration with Docker and Kubernetes and cloud platforms.• Demonstrated experience with containerization, workflow orchestration• Experience with ML model monitoring: model performance, data drift, model health, etc.• Experience in building continuous training (CI), continuous deployment (CD) & continuous training (CT) pipelines.Helping refactor models and build servitized apps to deploy models; experience in CI/CD to help automate andstreamlining learning pipeline•• Strong on the DevOps Stack having worked in complex environments.• GCP Services like Vertex AI, Cloud Composer, GKE.• Esp. CI / CD Jenkins, gitFlow, Kubeflow, MLFlow and their alternatives is critical (AirFlow , AWS Sagemaker etc.).• Python Scripting and programming ++ Shell Scripting and Linux management.
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JOB DESCRIPTION• Mandatory Experience in Terraform, GCP infrastructure, CI/CD deployment, Artifactory registry and containerisation• Design, build applications using containerization and orchestration with Docker and Kubernetes and cloud platforms.• Demonstrated experience with containerization, workflow orchestration• Experience with ML model monitoring: model performance, data drift, model health, etc.• Experience in building continuous training (CI), continuous deployment (CD) & continuous training (CT) pipelines.Helping refactor models and build servitized apps to deploy models; experience in CI/CD to help automate andstreamlining learning pipeline•• Strong on the DevOps Stack having worked in complex environments.• GCP Services like Vertex AI, Cloud Composer, GKE.• Esp. CI / CD Jenkins, gitFlow, Kubeflow, MLFlow and their alternatives is critical (AirFlow , AWS Sagemaker etc.).• Python Scripting and programming ++ Shell Scripting and Linux management.