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Senior Software Engineer, Machine Learning Platform

Airwallex· Engineering
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SG - SingaporeFull-timePosted 1w ago

About the role

Senior software engineer focusing on building and scaling the machine learning platform that powers risk decisioning across Airwallex. You’ll design data and model infrastructure, productionise ML workflows, and improve experimentation and decisioning speed and quality in the Risk Platform.

Responsibilities

  • 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.

Qualifications

  • 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.

Skills

Required:Software engineeringDeep learning frameworksProgramming languagesDistributed orchestration
Last updated Oct 15, 2026. Interested? Apply on the company site.
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