Description:

Join DataVisor, a leader in AI-powered Fraud and Risk Platform, to build a next-generation machine learning platform.
Work on improving core detection algorithms and automating the training process to detect fraud in real-time.

Requirements:

1-5 years of software development experience.
Proficiency in Java, Shell, and Python.
Knowledge of big data technologies (e.g., Spark, Hadoop, HBase, Cassandra) and real-time streaming technologies (e.g., Kafka, Flink).
Familiarity with relational databases, SQL, and ORM technologies (JPA2, Hibernate) is a plus.
Experience with multithreaded applications, Kubernetes, and CUDA development is a plus.

Skills