Job Description
Mandatory Experience in Terraform, GCP infrastructure, CI/CD deployment, Artifactory registry and containerization
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 and streamlining learning pipeline
Solid on the DevOps Stack having worked in complex settings.
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
📌 Ml Ops Engineer Bengaluru (India)
🏢 MM Staffing & Career Consultants
📍 India
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.