AI Fraud Detection Engineer

1 week ago


Charlotte, North Carolina, United States DataVisor Full time

DataVisor is a leading AI-powered fraud and risk platform that delivers the best overall detection coverage in the industry. We offer a competitive salary of $120,000 per year and benefits like flexible schedule, equity participation, and health insurance.

We are looking for creative engineers to help us expand our novel streaming and database systems, which enable our detection capabilities. As a software engineer at DataVisor, you will design and build machine learning systems that process data sets from the world's largest consumer services.

Key Responsibilities:

  • Design and build machine learning systems using unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters.
  • Build and optimize systems, tools, and validation strategies to support new features.
  • Help design/build distributed real-time systems and features.
  • Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines.
  • Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink).

Requirements:

  • 0-3 years software development experience.
  • 2 years experience in Java, Shell, Python development.
  • Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus.
  • Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus.
  • Experience in the Spring Framework is a plus.
  • Experience with test-driven development is a plus.


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