Machine Learning Engineer
4 weeks ago
DataVisor is a leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry.
Our platform is architected to support multiple use cases across different business units flexibly, dramatically lowering the total cost of ownership, compared to legacy point solutions.
We are 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 data sets from the world's largest consumer services
- Use 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
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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