Qapitol QA
AI DevOps (MLOps) Professional
Skills
6 months ago
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Important information
Contract type:
Permanent
Location:
Hyderabad, Telangana, India
Work mode:
Onsite
Published on:
14 October 2026
What they need
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.
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