Machine Learning Engineer

Job Summary

To enhance fraud detection and user protection at a global crypto exchange, the full-time Machine Learning Engineer will build and deploy machine learning models, develop AI tools, and collaborate with cross-functional teams in a hybrid work environment.

Key responsibilities

• Build, evaluate, and deploy machine learning models for fraud and risk detection
• Improve data quality, features, and model performance while balancing fraud detection with customer experience
• Develop AI agents to support investigations and automate routine workflows

Required qualifications

• Strong foundation in machine learning with hands-on experience in deep learning and tree-based models like XGBoost or LightGBM
• Proficiency in Python and experience in training, evaluating, and deploying models
• Practical experience in building AI agents or LLM applications
• Regular use of AI coding tools for development and testing
• Familiarity with databases and data pipelines for ML workflows