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