Senior Machine Learning Engineer - Fraud Detection
Tasks
- Analyze transaction datasets for patterns and issues
- Build maintain production ML services
- Collaborate with engineering data science and risk teams
- Design machine learning models for fraud detection
- Explain technical concepts to stakeholders
- Implement ML pipelines monitoring and experiments
- Train, evaluate, and deploy models
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | CI/CD | Docker | FastAPI | Feature Engineering | Flask | Kubeflow | LightGBM | MLOps | Model Monitoring | PySpark | Python | Real Time | Real-time Inference | SQL | Scikit-learn | Statistics | XGBoost
Education
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