Join DataVisor's innovative platform team as a Machine Learning Engineer. This role focuses on enhancing detection algorithms using both unsupervised and supervised learning techniques.As a key player in DataVisor's fraud detection initiatives, you will design and build advanced machine learning systems that process vast data sets. You will leverage your experience in big data technologies, such as Spark and Kafka, to develop powerful real-time solutions. The position requires creativity and a solid understanding of both UML and SML algorithms.Key Responsibilities:Design machine learning systems for major consumer servicesUtilize supervised and unsupervised learning to detect fraudBuild and optimize tools and validation strategiesDevelop distributed real-time systems and featuresImplement large-scale machine learning pipelinesRequirements:1-5 years of software development experienceProficiency in Java, Shell, and PythonStrong knowledge of SQL and relational databasesFamiliarity with big data technologies like SparkExperience with test-driven developmentBring your machine learning expertise to help revolutionize fraud detection systems at DataVisor.

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