Machine Learning Engineer (Risk)
SHIELDSingapore, Singapore
Posted July 24, 2023
Full Time
About the Company
SHIELD is a device-first fraud intelligence platform that helps digital businesses worldwide eliminate fake accounts and stop all fraudulent activity. Powered by SHIELD AI, we identify the root of fraud with the global standard for device identification (SHIELD Device ID) and actionable fraud intelligence, empowering businesses to stay ahead of new and unknown fraud threats. We are trusted by global unicorns like inDrive, Alibaba, Swiggy, Meesho, TrueMoney, and more. With offices in Los Angeles, London, Sao Paulo, Jakarta, Bengaluru, Beijing, and Singapore, we are rapidly achieving our mission - eliminating unfairness to enable trust for the world. For more information, visit shield.com
Job Description
SHIELD is a fraud intelligence platform helping digital businesses globally prevent fake accounts and fraudulent activity. They utilize SHIELD AI, a device ID standard, to identify fraud and empower businesses. The Machine Learning Engineer (Risk) will develop machine learning solutions to address complex problems and lead projects.
Requirements
- Minimum Bachelor Degree in Computer Science or related field with Machine Learning specialization
- Strong foundation in database and data scaling
- Experience with various Machine Learning algorithms
- Experience with MySQL, NoSQL and Columnar database
- Experience in C++, C, Python and other programming languages
- Prior experience in e-payments or e-commerce industry
- Strong analytical, interpersonal, communication and presentation skills