Senior Software Engineer, Machine Learning Platform

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Descrizione

How you'll make impact You’ll build and scale the machine learning platform that powers risk decisioning across Airwallex, helping teams develop, deploy, monitor, and improve models that protect every dollar moving through our platform. You’ll design reliable data and model infrastructure, productionise machine learning workflows, and improve the speed and quality of experimentation and decisioning across the Risk Platform. You’ll partner closely with machine learning engineers, data scientists, product managers, and risk specialists to turn complex fraud and risk problems into dependable systems. You’ll be based in Singapore and work from the office five days a week. What we're looking for Essentials 5+ years of software engineering experience, with at least 3+ years focused on model training infrastructure, model serving systems, or MLOps platforms. Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Hands-on experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow, JAX) and model training execution engines. Strong proficiency in core programming languages such as Python, Java, or C++. Experience with distributed orchestration and workflow management tools (e.g., Kubernetes, Ray, Kubeflow Pipelines, Airflow). Solid understanding of GPUs, including GPU architecture, hardware acceleration, and GPU-based training or inference optimization. Preferred Experience with model acceleration frameworks and Large Language Mode

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