Real-Time ML Platform Engineer for Fraud Detection

DataVisor; Vancouver; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Health Insurance

PTO

Job summary

DataVisor in Vancouver is seeking platform engineers to build a next-generation machine learning platform that combines unsupervised learning with supervised methods. You will help improve core detection algorithms and automate training.

The team focuses on real-time detection of fraud, designing architecture for real-time UML, and expanding streaming and database systems to enable live analytics. Join DataVisor to push fraud detection boundaries and scale data processing with experts in big

Qualifications

• 1–5 years software development experience.
• Experience in Java, Shell and Python development.
• Strong SQL and ORM knowledge (JPA2, Hibernate) 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.

Responsibilities

• Design and build machine learning systems that process data sets from large consumer services.
• Use unsupervised and supervised learning and deep learning to detect fraud.
• Build and optimize systems, tools, and validation strategies for new features.
• Help design and build distributed real-time systems and features.
• Use big data technologies to build large-scale ML pipelines and streaming capabilities.

Skills

Software development

Java

Python

Shell

SQL

ORM (JPA2/Hibernate)

Spring Framework

Test-driven development

Kubernetes

CUDA

Big data fundamentals

Tools

Spark

Hadoop

HBase

Cassandra

Flink

Kafka

JPA2 / Hibernate

Kubernetes

CUDA

Spark Streaming

Job description

DataVisor in Vancouver is seeking platform engineers to build a next-generation machine learning platform that combines unsupervised learning with supervised methods. You will help improve core detection algorithms and automate training.

The team focuses on real-time detection of fraud, designing architecture for real-time UML, and expanding streaming and database systems to enable live analytics. Join DataVisor to push fraud detection boundaries and scale data processing with experts in big