Gen AI Engineer
Zensar Technologies (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 9–18 LPA
Posted 3d ago
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Job description
Structured overview of role & requirements
About This Role
- Design and implement CI/CD pipelines specifically for AI solution deployments across development, testing, and production environments.
- Automate infrastructure provisioning using Infrastructure as Code tools like Terraform or Bicep, managing scalable and secure AI environments including networking and access controls.
- Implement monitoring, logging, observability, and resilience features (including automated rollback) for AI services and model deployment pipelines.
Minimum Requirements
- Experience with Azure DevOps or GitHub Actions for CI/CD pipeline management.
- Hands-on knowledge of Infrastructure as Code tools such as Terraform or Bicep.
- Familiarity with Kubernetes and containerization technology.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience or background in AI platform deployments and MLOps pipeline management, including model lifecycle management.
- Comfortable managing complex, scalable AI infrastructure across dev, test, and production stages with a focus on security and reliability.
- Skilled in integrating cloud-native monitoring, logging, and observability tools to ensure production-grade AI service stability.