Machine Learning Engineer developing machine learning systems at DataVisor for real-time fraud detection. Collaborating with a global team to innovate fraud detection solutions.
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
Experience in the Spring Framework is a plus
Experience with test-driven development is a plus
Preferred based in Calgary, but could be a fully remote position
Benefits
Canada Life Policy
Health Insurance including (Extended Health Care, Vision Care, and Dental Care)
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