Senior Engineer - ML and Data
INR 1500K-4500K (estimate) Senior-level Full Time
Tasks
- Build Microsoft Fabric data science workspaces
- Build monitoring and observability for pipeline and model health
- Configure orchestration and scheduling for batch workloads
- Create reusable batch prediction pipelines
- Define Python and R dependency pinning standards
- Develop governed data access for warehouses and feature stores
- Establish versioning standards for model code and environments
- Implement Fabric RBAC with Entra ID groups
- Implement data quality gates for schema and anomaly checks
- Implement forecasting pipeline patterns
- Produce operational runbooks and handoff documentation
- Run pipelines headless with managed identities and Key Vault secrets
- Set up CI CD for Fabric notebooks and platform assets
- Validate Power BI consumption patterns
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Azure Data | Azure Data Factory | Azure DevOps | Azure Key Vault | Azure RBAC | Bicep | CI/CD | Data Factory | Data Pipelines | Data Quality | Data Quality Validation | Entra ID | Feature Engineering | GitHub Actions | Great Expectations | Infrastructure as Code | Key Vault | MLOps | Managed Identity | Microsoft Entra | Microsoft Entra ID | Microsoft Fabric | Model versioning | Monitoring | Observability | Orchestration | Power BI | Python | Quality validation | SQL | Scheduling | Series forecasting | Service Principal | Soda | Terraform | Time Series | Time Series Forecasting | “as-code”
Education
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