UST
Website:
ust.com
Job details:
Role Description
Location : Bangalore
AI-Ops (MLOps) Engineer
Build the pipelines that allow models to be deployed, monitored, and scaled reliably in a production environment.
Core Responsibilities
Design and maintain automated CI/CD pipelines
Manage model versioning, deployment (A/B testing, Canary releases), and monitoring.
Optimize infrastructure for model inference to reduce latency and cloud costs.
Ensure data security and compliance within the AI pipeline.
Key Skills
Cloud Platforms: Azure (Azure AI)
Tooling: Experience with MLflow, Kubeflow, or Weights & Biases.
Azure Machine Learning (AML), Azure DevOps/GitHub Actions for CI/CD, and monitoring via Azure Monitor and Application Insights, Docker, Kubernetes, Terraform, and GitHub Actions.
Experience: 3+ years in MLOps
Skills
mlops,azure ai,mlflow,azure devops,docker,kubernetes,terraform,github
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