The System group is accountable for acquiring the architecture which makes true-time UML feasible. We are searhing for Innovative and eager engineers that can help us increase our novel streaming and databases techniques, which enable our detection abilities. We proceed to push the boundary of what is feasible in fraud detection and data processing at scale. Be part of us to assist usher in additional innovative remedies to the fraud detection Place. What you'll do: Design and Make machine Mastering techniques that system knowledge sets from the earth’s greatest purchaser companies Use unsupervised machine Finding out, supervised equipment Understanding, and deep learning to detect fraudulent habits and catch fraudsters Create and optimize devices, resources, and validation procedures to help new features Support design/Develop dispersed genuine-time units and functions Use major data systems (e.g. Spark, Hadoop, HBase, Cassandra) to construct massive scale equipment Understanding pipelines Acquire new systems in addition to actual-time streaming systems (e.g. Kafka, Flink) Specifications 0-3years program development expertise two decades knowledge in Java, Shell, Python development Excellent understanding of Relational Databases, SQL and ORM systems (JPA2, Hibernate) is really a plus Knowledge in Cassandra, HBase, Flink, Spark or Kafka is usually a in addition. Working experience inside the Spring Framework is usually a furthermore Knowledge with test-driven development can be a plus Rewards We provide a flexible routine with competitive pay back, equity participation and wellness Added benefits, together with catered lunch, firm off-web pages, and recreation evenings, in addition to the opportunity to work using a earth class group. $69k-94k yearly est. 29d in the past
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