Qureos

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MLOps / AI Platform Engineer

India

Location: India (Remote / Hybrid)
Job Type: Permanent
Experience: 3–7 years

About the Role:
Operationalize ML/AI models at scale.

Responsibilities:

  • Automate ML pipelines (training, deployment, monitoring).
  • Implement model drift detection and retraining workflows.
  • Optimize cloud infrastructure for AI.

Skills: MLflow, Kubeflow, Airflow, Docker, Kubernetes, Terraform, Azure ML, SageMaker, Vertex AI.

Job Type: Full-time

Work Location: Remote

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