Join DataVisor as a Platform Engineer, specializing in Machine Learning systems for fraud detection. Focus on building scalable solutions using cutting-edge technologies.

As a member of the platform engineering team, you will develop the architecture that empowers real-time fraud detection using unsupervised machine learning. You will innovate and expand on existing streaming and database systems to meet the demands of complex fraud challenges. Your role is pivotal in pushing boundaries within the AI-powered Fraud and Risk domain.

Key Responsibilities:
• Develop machine learning systems for processing large datasets
• Engage in building unsupervised and supervised learning capabilities
• Optimize tools and validation processes for recent features




• Design distributed real-time systems for fraud detection
• Employ big data technologies to create machine learning pipelines

Requirements:
• 1-5 years of professional software experience
• Proficiency in Java, Shell, and Python
• Strong understanding of SQL and relational databases
• Familiarity with Spark, Kafka, and HBase
• Experience with multithreaded applications

Leverage your engineering skills to advance fraud detection technologies at DataVisor.
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📌 DataVisor Platform Engineer (Machine Learning) (British Columbia)
🏢 DataVisor
📍 British Columbia