Machine Learning Engineer

4 weeks ago


Charlotte, North Carolina, United States DataVisor Full time
About the Role

DataVisor is a leading AI-powered Fraud and Risk Platform that delivers unparalleled detection coverage. Our open SaaS platform enables easy consolidation and enrichment of any data, scaling infinitely to combat fast-evolving fraud and money laundering activities in real-time. Our patented unsupervised machine learning technology, advanced device intelligence, and powerful decision engine work together to provide guaranteed performance lift from day one.

Our team of world-class experts in big data, machine learning, security, and scalable infrastructure is passionate about building innovative solutions to the fraud detection space. We're looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities.

Key Responsibilities

  • Design and build machine learning systems that process large data sets from consumer services
  • Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior
  • 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

What We Offer

We offer a flexible schedule with competitive pay, equity participation, and health benefits, along with catered lunch, company off-sites, and game nights, as well as the opportunity to work with a world-class team.



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