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Generalist 'DevOps' title and Pune metro increase candidate density; MLOps specialization moderates competition.
Core DevOps and cloud skills are transferable, but AI/MLOps platform experience raises domain specificity.
Multiple mandatory infrastructure and CI/CD skills (Terraform, Kubernetes, cloud security) create strict technical filters.
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Design and manage CI/CD pipelines specifically for AI solutions ensuring reliable and scalable deployments.
Automate infrastructure provisioning and handle AI environment deployments across development, testing, and production stages.
Implement monitoring, logging, secure networking, and automated rollback strategies to ensure operational resilience of AI platform services.
Experience with Azure DevOps or GitHub Actions for pipeline automation.
Proficiency in Infrastructure as Code tools such as Terraform or Bicep.
Hands-on experience with Kubernetes and containerization technologies.
Work Experience Required: Not explicitly mentioned in the JD.
Experience with deploying and managing AI platforms and MLOps pipelines.
Familiarity with model lifecycle management and handling versioning of AI models.
Skilled in implementing cloud networking, security, and observability in complex AI infrastructure environments.