MLOps / AI Platform Engineer
2 weeks ago
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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