Machine Learning Engineer

Build and deploy fraud detection models for banking transaction data within a fraud protection team in a multinational cybersecurity company. You’ll focus on graph-based transactional analysis to uncover complex financial relationships, including cryptocurrency flows, and may work on GraphRAG components for AI agents. Develop production-ready code (primarily Python), research state-of-the-art ML and anomaly-detection methods, and document findings while integrating models into the fraud protection platform.