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 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
📌 ML Ops Engineer (Bengaluru)
🏢 MM Staffing & Career Consultants
📍 Bengaluru
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