AI DevOps (MLOps) Professional

Job highlights

• Required Skills: . Docker,Kubernetes. MLflow / Kubeflow. CI / CD.

Role Summary: Engineer managing deployment and lifecycle of AI models.

Key Responsibilities:

• Build ML pipelines
• Deploy AI models
• Monitor performance and drift
• Automate training workflows
• Ensure governance

Required Skills:

• Docker, Kubernetes
• MLflow / Kubeflow
• CI/CD
• Cloud (AWS/GCP)
• Python

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.