Cloud Platform Engineer - AI, Officer

Overview

DevOps Engineer role focused on building and maintaining secure, scalable cloud platforms for AI/ML workloads.

What you'll do

• Design and manage cloud infrastructure for AI/ML applications and services.
• Build and maintain CI/CD pipelines for application and ML model deployments.
• Automate infrastructure provisioning using Infrastructure as Code tools.
• Deploy and manage containerized workloads using Kubernetes.
• Implement MLOps workflows covering training, validation, deployment, and monitoring.
• Monitor platform health, troubleshoot production issues, and ensure high availability.
• Implement security best practices including secrets management and IAM.

What you'll need

• 8–12+ years of experience.
• Strong experience with at least one major cloud platform: AWS, Azure, or GCP.
• Linux system administration experience.
• Containerization experience with Docker and Kubernetes.
• Infrastructure as Code knowledge: Terraform and Ansible.
• CI/CD tools experience: Jenkins, GitHub Actions, or GitLab CI/CD.
• AI/MLOps production experience with tools such as MLflow or Kubeflow.

Details

• Location: Hyderabad, India.