Software Engineer - Canada

DataVisor; Vancouver; On-site; CAD 110,000 - 150,000; Full time

Benefits offered by this job

Health Insurance

PTO

Job summary

DataVisor in Vancouver, Canada is building a next-generation machine learning platform for real-time fraud detection and risk assessment. We are expanding the UML/SML-based system to improve core detection algorithms and automate training pipelines.

As a platform engineer, you will design distributed real-time architectures and leverage Spark, Kafka, Flink, and other big data tools to power scalable ML workflows. Join a world-class team focused on innovation and impact.

Qualifications

• 1–5 years of software development experience.
• 1–5 years of Java, Shell, and Python development.
• Strong SQL knowledge and ORM experience (JPA2, Hibernate) is a plus.
• Experience with Cassandra, HBase, Flink, Spark or Kafka is a plus.
• Experience with the Spring Framework is a plus.
• Experience with test-driven development is a plus.

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).

Skills

Multithreading

Tools

Java

Shell

Python

SQL

ORM (JPA2, Hibernate)

Cassandra

HBase

Flink

Spark

Kafka

Spring Framework

Test-Driven Development

Kubernetes

CUDA

Job description

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:

• 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)

• 1-5 years software development experience
• 1-5 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 Qualifications

• Worked on multithreaded applications i
• Experience in Shell and Python
• Experience in Kubernates
• Experience in CUDA development is a plus

Health Insurance, PTO.