Senior Machine Learning Engineer (Fraud ML)
Tasks
- Build and scale feature pipelines
- Collaborate cross functionally on requirements and evaluations
- Define retraining and backtesting workflows
- Improve team model building process
- Instrument and monitor model and data health
- Integrate models into batch and real time decision systems
- Lead fraud prediction model development
- Prototype modeling ideas with offline experiments
Perks/Benefits
- Dental and vision coverage
- Employee stock purchase plan
- Flexible spending accounts
- Health coverage
- Paid time off
- Remote work
Skills/Tech-stack
Airflow | CatBoost | Dask | Experimentation | Feature Engineering | Kubeflow | LightGBM | MLflow | Machine Learning | Model Monitoring | PyTorch | Python | Ray | Spark | XGBoost
Education
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