DataVisor

DataVisor

DataVisor delivers a powerful AI-powered fraud and risk management platform for real-time response to fraud attacks, providing security analytics for consumer-facing web and mobile sites.

IT Services
51-250
Founded 2013
$94M raised

Description

  • Design and build machine learning systems that process data sets from large 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 and build distributed real-time systems and product features.
  • Use big data technologies such as Spark, Hadoop, HBase, and Cassandra to build large-scale machine learning pipelines.
  • Develop new systems on top of real-time streaming technologies such as Kafka and Flink.
  • Improve core detection algorithms and automate the full training process.
  • Support the architecture that enables real-time unsupervised machine learning.

Requirements

  • 1-5 years of software development experience.
  • 1-5 years of experience in Java, Shell, or Python development.
  • Excellent knowledge of relational databases, SQL, and ORM technologies such as JPA2 and Hibernate is a plus.
  • Experience with Cassandra, HBase, Flink, Spark, or Kafka is a plus.
  • Experience with the Spring Framework is a plus.
  • Experience with test-driven development is a plus.
  • Experience working on multithreaded applications.
  • Experience with Kubernetes.
  • Experience with CUDA development is a plus.

Benefits

  • Health insurance.
  • PTO.

Interested in this position?

Apply directly on the company website

Apply Now

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