Join DataVisor's innovative platform team as a Machine Learning Engineer. This role focuses on enhancing detection algorithms using both unsupervised and supervised learning techniques. As a key player in DataVisor’s fraud detection initiatives, you will design and build advanced machine learning systems that process vast data sets.

You will leverage your experience in big data technologies, such as Spark and Kafka, to develop powerful real-time solutions. The position requires creativity and a robust understanding of both UML and SML algorithms. Key Responsibilities:

- Design machine learning systems for major consumer services
- Utilize supervised and unsupervised learning to detect fraud
- Build and optimize tools and validation strategies
- Develop distributed real-time systems and features
- Implement large-scale machine learning pipelines Requirements:
- 1-5 years of software development experience
- Proficiency in Java, Shell, and Python
- Strong knowledge of SQL and relational databases
- Familiarity with big data technologies like Spark
- Experience with test-driven development Bring your machine learning expertise to help revolutionize fraud detection systems at DataVisor.

📌 Machine Learning Engineer (Fully Remote) (Vancouver)
🏢 DataVisor
📍 Vancouver