Machine Learning Engineer Graduate (Global E-Commerce, Risk Control) - 2027 Start
Core
Build real-time AI agent pipelines and ML models to detect and prevent cross-domain fraudulent activities in a global e-commerce ecosystem.
Role type
Machine Learning Engineer (Fraud Detection & Risk Control)
Builds
Real-time AI agent pipelines and production ML models for fraud prevention
Domain
E-commerce, Risk Control, Security
Deliverable
production ML models
Required skills
Python, Machine Learning, LLMs, Agentic systems, PyTorch, Scikit-learn, LangChain, Hugging Face Transformers, Data Analysis, Model Deployment
Preferred skills
Critical thinking, Data-driven decision making
Technologies
PyTorch, Scikit-learn, LangChain, Hugging Face Transformers
Responsibilities
Analyze massive business and security data to mine abnormal user behavior and uncover risky patterns; Productionize AI agent pipelines for real-time prevention under massive global traffic; Analyze and test the effectiveness of built solutions; Collaborate with cross-functional teams to mitigate business risks; Develop, deploy, and monitor models on relevant software platforms.
