Multi-Cloud AI DevOps Engineer

Job description

Role: AI DevOps Engineer (Multi-Cloud) Responsibilities: • Design, deploy, and manage AI/ML applications across Azure, AWS, and GCP. • Build and maintain CI/CD pipelines for cloud and AI workloads. • Automate infrastructure using Terraform and Infrastructure as Code (IaC). • Manage Kubernetes clusters (AKS, EKS, GKE) and containerized applications. • Monitor system performance, security, scalability, and reliability. • Collaborate with development, data, and cloud teams to deliver end-to-end solutions. Required Skills: • Azure, AWS, and GCP • Docker, Kubernetes • Terraform • GitHub Actions / Azure DevOps / Jenkins • Python, Bash • MLOps tools (MLflow, Kubeflow, Azure ML, SageMaker, Vertex AI) Experience: 3+ years in DevOps/Cloud with exposure to AI/ML platforms. Preferred candidate profile Perks and benefits