Machine Learning Engineer (Risk)

SHIELD is a leading device-first fraud intelligence platform helping businesses worldwide combat fraud. As a Machine Learning Engineer (Risk), you'll be at the forefront of developing innovative ML solutions to tackle complex fraud detection challenges. The role combines hands-on machine learning development with practical software engineering, working with large datasets and various databases. You'll be part of a company trusted by global unicorns like inDrive, Alibaba, Swiggy, and Meesho, with offices across major tech hubs including LA, London, Jakarta, Bengaluru, Beijing, and Singapore. The position offers opportunities to work with advanced technologies, design ML algorithms, and contribute to improving system architecture. You'll be instrumental in developing fraud detection solutions that help businesses maintain trust and security in their digital operations. The role requires a strong technical background in ML, databases, and programming, combined with analytical and communication skills. Join a rapidly growing company that's making a significant impact in the global fight against digital fraud.