Machine Learning Engineer Graduate (Global E-Commerce, Risk Control) - 2026 Start (PhD)
Tasks
- Analyze user behavior data for abnormal patterns
- Build data pipelines for real-time risk prevention
- Collaborate with cross functional teams to mitigate business risk
- Develop machine learning solutions for fraud detection
- Develop, deploy and monitor machine learning models
- Evaluate and test model effectiveness
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Data Analysis | Data Pipelines | Fraud Detection | Machine Learning | Model Evaluation | Python | Real Time | Real-time Processing | Time processing
Education
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