Key Responsibilities

- Design and implement CI/CD pipelines for AI solutions.
- Automate infrastructure provisioning using Terraform or Bicep.
- Manage AI environment deployments across dev, test, and production.
- Implement monitoring, logging, and observability for AI services.
- Configure secure setting setup, networking, and access controls.
- Manage model deployment pipelines and versioning.
- Ensure scalable and reliable deployment of agents.
- Implement automated rollback and resilience strategies.

Required Skills

- Azure DevOps / GitHub Actions
- Terraform / Infrastructure as Code
- Kubernetes / containerization
- Monitoring tools (Application Insights, Prometheus, etc.)
- Cloud networking and security

Preferred Experience

- AI platform deployments
- MLOps pipelines
- Model lifecycle management

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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 DevOps Engineer (AI Platform) (Pune)
🏢 Zensar
📍 Pune