Job Description

Key Responsibilities

  • Design, implement, and maintain scalable, secure cloud infrastructure for AI/ML solutions
  • Build and manage Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation
  • Develop and maintain CI/CD pipelines for AI applications and model deployment
  • Support end‑to‑end MLOps lifecycle (training, versioning, deployment, monitoring)
  • Automate deployments using best practices (blue/green, canary releases, rollback strategies)
  • Configure monitoring, alerting, and observability (logs, metrics, tracing) for production systems
  • Optimize performance, scalability, and cost (compute, storage, GPU usage)
  • Use AI tools (e.g. Copilot, ChatGPT, Claude, Cursor) to accelerate scripting, automation, and incident resolution
  • Troubleshoot production issues and ensure high system reliability and availability
  • Support developers and data scientists on DevOps tooling and ...

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