Senior Data & ML Infrastructure Engineer (Xora Portfolio Company)
Singapore, Singapore, Singapore
SGD 165K-220K (estimate) Senior-level Full Time
Tasks
- Build ML data pipelines for training
- Build dashboards metrics logs and alerts
- Build data pipelines
- Create regression checks for model quality
- Create training ready data formats
- Deduplicate format and curate datasets
- Design APIs services and internal tools
- Implement safe rollout and rollback
- Ingest transform curate scientific data
- Monitor model drift degradation latency and anomalies
- Optimize data for fast query
- Package version deploy models
- Run CI CD for ML model releases
- Serve models for batch online and asynchronous inference
- Set up model registries and reproducible builds
- Validate data with schema distribution completeness checks
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Anomaly Detection | Array Data Formats | Asynchronous inference | Batch inference | CI/CD | Cloud Computing | Columnar Storage | Dagster | Data Formats | Data Quality | Data Validation | Data pipeline | Distributed Computing | Docker | Drift Detection | Flyte | Grafana | Kubernetes | Latency monitoring | MLOps | Model Packaging | Model Registry | Model Serving | Model versioning | Monitoring | Multi-GPU | Object storage | Online Inference | OpenTelemetry | Prometheus | Python | Schema Validation | Telemetry | Telemetry Logging | Temporal | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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