Become a pivotal part of DataVisor's team as a Fraud Detection Software Engineer. Lead the development of advanced algorithms for real-time fraud prevention and detection.

In this role, you will focus on enhancing the architecture that powers DataVisor’s unique machine learning capabilities. Working with an award-winning team, your contributions will help refine detection algorithms and automate processes. Utilize big data technologies while developing novel solutions to stay ahead of evolving fraud threats.

Key Responsibilities: • Design and enhance machine learning systems for fraud detection • Implement unsupervised and supervised learning algorithms • Optimize systems and validation strategies for efficiency • Build real-time distributed systems and features • Create large-scale machine learning pipelines with big data tools

Requirements: • 1-5 years of software development experience • Knowledge of Java, Shell, and Python • Excellent relational database skills with SQL • Experience with tools like Spark or Kafka • Familiarity with test-driven development practices

Play a critical role in shaping the future of fraud detection at DataVisor. #J-18808-Ljbffr

📌 Fraud Detection Software Engineer (Winnipeg)
🏢 DataVisor
📍 Winnipeg