Machine Learning Engineer Graduate (Global E-Commerce, Risk Control) - 2026 Start (BS/MS)
Core
Build scalable, real-time risk prevention systems using AI and data science to detect and prevent fraudulent activities in the e-commerce ecosystem.
Role type
Machine Learning Engineer (Risk Control)
Builds
Data pipelines and ML models for fraud detection and risk mitigation
Domain
E-commerce, Risk Control, Fraud Prevention
Deliverable
production ML models
Required skills
Machine learning, data pipeline development, software development, programming languages, statistical analysis, model testing
Preferred skills
scikit-learn, TensorFlow, PyTorch, critical thinking, data-driven decision making
Technologies
scikit-learn, TensorFlow, PyTorch
Responsibilities
Develop ML solutions for fraud identification, analyze user behavior data to uncover risky patterns, build data pipelines for real-time risk prevention, test solution effectiveness, collaborate cross-functionally to mitigate business risks, deploy and monitor models on software platforms
Seniority
Graduate (Entry-level)
