Job Description
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