Machine Learning Engineer

2 weeks ago


Calgary, Alberta, Canada DataVisor Full time

About Us


DataVisor is a leading AI-powered Fraud and Risk Platform that delivers unparalleled detection coverage.


Our open SaaS platform supports easy consolidation and enrichment of any data, scaling infinitely to enable real-time action on evolving fraud and money laundering activities.


Our patented unsupervised machine learning technology, advanced device intelligence, and powerful decision engine provide guaranteed performance lift from day one.


Our platform is architected to support multiple use cases across different business units, dramatically lowering total cost of ownership compared to legacy point solutions.


About the Role


We are seeking a creative and eager engineer to help us expand our novel streaming and database systems, which enable our detection capabilities.


As a key member of our platform team, you will design and build machine learning systems that process large data sets from the world's largest consumer services.


Using unsupervised machine learning, supervised machine learning, and deep learning, you will detect fraudulent behavior and catch fraudsters in real-time.


You will build and optimize systems, tools, and validation strategies to support new features, and help design/build distributed real-time systems and features.


Experience with big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) and real-time streaming technologies (e.g. Kafka, Flink) is a plus.


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.


What We Offer


Canada Life Policy, Health Insurance including (Extended Health Care, Vision Care, and Dental Care), Life Insurance, Accidental Insurance, Retirement Savings Plan, Paid Vacation.



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