DevOps Engineer (AI Platform)
Zensar Technologies (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 8–18 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design and implement CI/CD pipelines specific to AI solutions.
- Automate infrastructure provisioning and manage AI environment deployments across all stages.
- Implement monitoring, logging, security, and scalable deployment strategies for AI services and models.
Minimum Requirements
- Experience with Azure DevOps or GitHub Actions and Infrastructure as Code tools like Terraform or Bicep.
- Proficiency in Kubernetes and containerization technologies.
- Knowledge of monitoring tools such as Application Insights or Prometheus.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Background in AI platform deployments and MLOps pipeline management.
- Experienced in managing model lifecycle including deployment pipelines and versioning.
- Able to ensure secure, scalable, and resilient AI infrastructure operations across development, testing, and production environments.