DevOps Engineer / AI Engineer / DevOps AI Engineer

Job Summary

We are looking for an experienced AI DevOps Engineer to build, automate, and manage scalable infrastructure and deployment pipelines for AI/ML applications. The ideal candidate will have strong experience in cloud, DevOps, MLOps, CI/CD, containers, Kubernetes, and AI/ML platforms.

Key Responsibilities

• Design and implement CI/CD pipelines for AI/ML applications and services.
• Deploy and manage AI/ML workloads across AWS, Azure, or Google Cloud Platform.
• Build and maintain MLOps infrastructure and automation workflows.
• Manage containerized applications using Docker and Kubernetes.
• Implement Infrastructure as Code using Terraform, CloudFormation, or similar tools.
• Automate model deployment, versioning, monitoring, and rollback processes.
• Integrate AI/ML workflows with GitHub, Jenkins, GitLab, or Azure DevOps.
• Monitor system performance, availability, scalability, and resource utilization.
• Implement security, access controls, secrets management, and compliance practices.
• Collaborate with Data Scientists, AI Engineers, ML Engineers, and SRE teams.
• Troubleshoot production issues and continuously improve reliability and deployment efficiency.