Machine Learning Engineer
Tasks
- Build machine learning pipelines
- Build reusable evaluation harnesses
- Deploy machine learning models
- Detect data drift and reliability issues
- Implement model serving APIs
- Improve production readiness and continuous improvement
- Investigate ML pipeline incidents
- Measure model performance and metrics
- Monitor production model performance
- Run batch scoring workflows
- Support model training workflows
- Track experiments and model versions
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Automated testing | Batch Scoring | CI/CD | Data Drift | Data Quality | Data drift monitoring | Docker | Drift monitoring | Experiment tracking | Feature Engineering | Git | MLflow | Machine Learning | Model Evaluation | Model Inference | Model Packaging | Model Registry | Model Serving | Model Training | Monitoring | Python | SQL | Series data | Supervised Learning | Time Series | Time Series Data
Education
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