Senior ML Platform Engineer – Risk & Fraud Infra

hirealice

Singapore

Vor Ort

SGD 120.000 - 180.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Airwallex in Singapore is seeking a senior ML Platform Engineer to build and scale the risk decisioning infrastructure that powers the platform. You’ll design data pipelines, model serving, and experimentation tooling to support fast, reliable risk scoring.

You’ll work closely with ML engineers, data scientists, product managers, and risk specialists across time zones to optimize performance and reliability; you will be in the Singapore office five days a week.

Qualifikationen

  • 5+ years of software engineering with a focus on ML infrastructure.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Hands-on experience with modern deep learning frameworks (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 (Kubernetes, Ray, Kubeflow Pipelines, Airflow).
  • Solid understanding of GPUs and GPU-accelerated training/inference.

Aufgaben

  • Build and scale the machine learning platform that powers risk decisioning across Airwallex.
  • Collaborate with ML engineers, data scientists, product managers, and risk specialists to turn complex problems into dependable systems.

Kenntnisse

ML infra
Deep learning
Python/Java/C++
Kubernetes
GPUs

Ausbildung

Bachelor's or Master's in CS/Engineering

Tools

PyTorch
TensorFlow
JAX
Kubernetes
Airflow

Jobbeschreibung

Airwallex in Singapore is seeking a senior ML Platform Engineer to build and scale the risk decisioning infrastructure that powers the platform. You’ll design data pipelines, model serving, and experimentation tooling to support fast, reliable risk scoring.

You’ll work closely with ML engineers, data scientists, product managers, and risk specialists across time zones to optimize performance and reliability; you will be in the Singapore office five days a week.

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