Builds machine learning systems using unsupervised/supervised algorithms and deep learning to detect fraud in real-time. Designs distributed streaming systems with big data technologies like Spark, Kafka, and Flink. Requires 5+ years in Java, Python, Shell.
Salary not listed
On-site5+ YOEML Engineering
About the role
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
5+ years software development experience
5+ 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
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