The System group is responsible for producing the architecture that makes authentic-time UML achievable. We are seeking Innovative and keen engineers to help you us expand our novel streaming and databases programs, which enable our detection abilities. We carry on to force the boundary of what's possible in fraud detection and facts processing at scale. Be a part of us that will help usher in additional innovative alternatives to the fraud detection Place. Everything you'll do: Design and Establish device learning programs that procedure facts sets from the entire world’s major client services Use unsupervised device Studying, supervised equipment Studying, and deep Mastering to detect fraudulent behavior and capture fraudsters Construct and improve devices, resources, and validation tactics to assistance new capabilities Help design/Create dispersed genuine-time devices and features Use massive data systems (e.g. Spark, Hadoop, HBase, Cassandra) to build substantial scale machine Finding out pipelines Develop new programs in addition to actual-time streaming systems (e.g. Kafka, Flink) Specifications 0-3years software package development encounter two years knowledge in Java, Shell, Python development Excellent understanding of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is usually a furthermore Experience in Cassandra, HBase, Flink, Spark or Kafka can be a moreover. Experience inside the Spring Framework is really a in addition Practical experience with exam-driven development is really a as well as Advantages We provide a versatile program with competitive pay out, fairness participation and health and fitness Advantages, in addition to catered lunch, corporation off-web pages, and sport nights, and also the opportunity to operate which has a globe course workforce. $69k-94k yearly est. 29d in the past
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