Machine Learning Software Engineer at DataVisor

Join Data Visor as a Machine Learning Software Engineer, focusing on developing advanced systems to detect fraud in real-time. Work with big data technologies to build cutting-edge solutions that enhance fraud detection capabilities.

This senior role requires expertise in unsupervised machine learning and software development. You will design and build scalable systems utilizing tools like Spark and Kafka while collaborating with a team dedicated to innovation in the fraud detection space. Your work will have a direct impact on enhancing our proprietary detection algorithms and automated training processes.

Key Responsibilities:

• Design and develop machine learning systems for large datasets

• Use unsupervised and supervised algorithms for fraud detection

• Optimize tools and validation strategies for new features

• Build distributed real-time systems and enhancements

• Implement big data technologies in machine learning pipelines

Requirements:

• 5+ years of software development experience

• Proficiency in Java, Shell, and Python

• Strong knowledge of relational databases and SQL

• Familiarity with big data technologies like Spark and Flink

• Experience in Spring Framework preferred

Bring your software development expertise to Data Visor and help pioneer the future of AI-powered fraud detection.
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