ML Ops Engineer

Job Description:

Job Profile -  MLOps Engineer

Location -  Bangalore

Type - Permanent Full Time

Experience - 5 to 7 years

Key Skiils - Artifactory Register, Terraform, GCP, CI/CD, Containerization

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

• 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