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Posted:
June 04, 2026
Location:
calgary, ab, Canada
Job Description
Join DataVisor as a Senior Software Engineer focusing on AI fraud detection. Utilize unsupervised and supervised machine learning to enhance our revolutionary platform for real-time fraud detection.
At DataVisor, we are seeking an experienced engineer with over five years of software development and expertise in Java, Python, and big data technologies. You’ll work with a talented team to improve our detection algorithms and design distributed real-time systems that tackle evolving fraud threats. This role allows for remote work while contributing to innovative solutions in the fraud detection sector.
Key Responsibilities:
• Implement unsupervised and supervised machine learning algorithms
• Design and develop distributed, real-time systems
• Build large-scale machine learning pipelines using Spark and Hadoop
• Improve detection capabilities with innovative features
• Automate training processes for core algorithms
Requirements:
• 5+ years software development...
At DataVisor, we are seeking an experienced engineer with over five years of software development and expertise in Java, Python, and big data technologies. You’ll work with a talented team to improve our detection algorithms and design distributed real-time systems that tackle evolving fraud threats. This role allows for remote work while contributing to innovative solutions in the fraud detection sector.
Key Responsibilities:
• Implement unsupervised and supervised machine learning algorithms
• Design and develop distributed, real-time systems
• Build large-scale machine learning pipelines using Spark and Hadoop
• Improve detection capabilities with innovative features
• Automate training processes for core algorithms
Requirements:
• 5+ years software development...
Apply for this Job
Submit your application for the Senior Software Engineer in AI Fraud Detection position at DataVisor.
Apply Now Save for LaterJob Overview
Job Type:
Full-time
Location:
calgary, Canada
Posted:
June 04, 2026
Deadline:
July 14, 2026