11 Sep
|
Tredence
|
Bengaluru
11 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