AI DevOps Engineer (MLOps & Cloud)

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 ...