Description
The Machine Learning Engineer will advance machine learning capabilities across Global Fraud Solutions’ fraud detection platforms by designing, developing, and deploying models for fraud and AML detection in batch and real-time scenarios. The role includes building MLOps pipelines, feature engineering, model validation, performance optimization, platform architecture alignment, and mentoring junior team members. It requires at least three years of production machine learning experience in Python, cloud-native ML platform knowledge, containerization, CI/CD, and fraud detection and AML model experience, with eligibility to work in Malaysia.
