DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's 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. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us!
Summary:
As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process.
As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform team is responsible for developing the architecture that makes real-time UML possible. We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities.
We continue to push the boundary of what's possible in fraud detection and data processing at scale. Join us to help usher in more innovative solutions to the fraud detection space.
What you'll do:
Leverage current system functionalities and create new tools required, to integration with the client systems
Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to deliver large scale machine learning pipelines for the client projects
Responsible for technical communication and progress in customer delivery-related work
Provide technical support and management for project delivery to ensure the project is completed as required and with quality
Oversee the launch of platform product modules, including but not limited to system setup, software function development for multi-system integration, model deployment and updates, data analysis, and validation
Provide technical support and handle issues during system operation
Requirements
0-3years software development experience
Proficiency in at least one of the following programming languages: Java or Python
Familiarity with basic Kubernetes (k8s) operations and principles
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
Experience in project management is a plus
Benefits
Canada Life Policy
Health Insurance including (Extended Health Care, Vision Care, and Dental Care)
Life Insurance, Accidental Insurance
Retirement Savings Plan
Paid Vacation
Seniority level
Entry level
Employment type
Full-time
Job function
Engineering
Industries
Non-profit Organizations and Primary and Secondary Education
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