Machine Learning Engineer

We are looking for an experienced Machine Learning Engineer to strengthen our Fraud Protection team within a multinational cybersecurity company. The primary mission of this role is to analyze banking transactions to detect and prevent fraud and to enhance existing fraud detection algorithms.

A key focus of the position is graph-based transactional analysis, including identifying complex relationships in financial data such as cryptocurrency flows. You may also contribute to broader graph-related tasks, for example building GraphRAG components for AI-driven agents.

Tech Stack

• Python 3.8+
• Data analysis & modeling: pandas, scikit-learn, PyTorch
• Graph libraries/frameworks: NetworkX, PyG, Neo4j, AWS Neptune (any of these)
• Databases (nice to have): Elasticsearch, Cassandra, ClickHouse
• Git, Docker
• AWS ecosystem

Responsibilities