Data & AI Operations Specialist
Tasks
- Author standard operating procedures
- Conduct AI governance reviews
- Configure Azure Monitor
- Configure Grafana dashboards
- Configure automated retraining triggers
- Configure data drift detection
- Design AI platform monitoring architecture
- Design Azure Data Factory pipelines
- Develop automated recovery runbooks
- Develop self healing scripts
- Implement CI/CD pipelines for model deployment
- Implement CI/CD pipelines for model testing
- Implement CI/CD pipelines for model training
- Implement RBAC controls
- Implement VNET integration
- Implement audit logging
- Implement private endpoints
- Integrate logs with SIEM
- Manage Azure Machine Learning workspace
- Manage Databricks cluster lifecycle
- Optimize GPU resource allocation
- Optimize azure synapse pipelines
- Optimize cost performance
- Remediate data format changes
- Troubleshoot ETL performance bottlenecks
- Troubleshoot authentication failures
Perks/Benefits
- N/A
Skills/Tech-stack
AKS | Audit Logging | Azure Data | Azure Data Factory | Azure Machine Learning | Azure Monitor | Azure Resource | Azure Resource Manager | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Drift | Data Drift Detection | Data Factory | Databricks | Drift Detection | Dynatrace | ETL | FinOps | GPU Resource Allocation | Grafana | Istio | KEDA | MLOps | Machine Learning | Model retraining | Private Endpoint | RBAC | Resource allocation | Resource manager | SIEM | Synapse Analytics | Terraform | VNet
Education
N/A
Roles
Data Engineer | DevOps | DevOps Engineer | Engineer | MLOps Engineer
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