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.