12 Sep
|
Tredence
|
Bengaluru
12 Sep
Tredence
Bengaluru
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 perks
📌 Multi Cloud Ai Devops Engineer Bengaluru
🏢 Tredence
📍 Bengaluru