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 datasetsEngage in building unsupervised and supervised learning capabilitiesOptimize tools and validation processes for new featuresDesign distributed real-time systems for fraud detectionEmploy big data technologies to create machine learning pipelinesRequirements:1-5 years of qualified software experienceProficiency in Java, Shell, and PythonStrong understanding of SQL and relational databasesFamiliarity with Spark, Kafka, and HBaseExperience with multithreaded applicationsLeverage your engineering skills to advance fraud detection technologies at DataVisor.

📌 Datavisor Platform Engineer (Machine Learning) (Vancouver)
🏢 DataVisor
📍 Vancouver