Senior ML Platform Engineer - Risk & Decisioning

AIRWALLEX (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Airwallex (Singapore) PTE. LTD. is seeking an experienced software engineer to build and scale the machine learning platform that powers risk decisioning across Airwallex.

You will design data and model infrastructure, productionise ML workflows, and improve experimentation speed and decision quality. You will partner with ML engineers, data scientists, PMs and risk specialists to turn complex fraud problems into dependable systems, and you’ll be based in Singapore, working from the office five

Qualifications

• 5+ years in software engineering with focus on model training infra.
• Bachelor’s or Master’s in CS, Engineering or a related field.
• Hands-on with PyTorch/TF/JAX and model training engines.

Responsibilities

• Build and scale the ML platform powering risk decisioning across Airwallex.
• Design reliable data and model infrastructure; productionise ML workflows.
• Collaborate with ML engineers, data scientists, PMs and risk experts to tackle fraud problems.
• Based in Singapore; work from the office five days a week.

Skills

Model training infra

Deep learning

Python

Distributed systems

GPU hardware

Education

CS/Engineering degree

Tools

Kubernetes

Kubeflow

Ray

Airflow

Job description

Airwallex (Singapore) PTE. LTD. is seeking an experienced software engineer to build and scale the machine learning platform that powers risk decisioning across Airwallex.

You will design data and model infrastructure, productionise ML workflows, and improve experimentation speed and decision quality. You will partner with ML engineers, data scientists, PMs and risk specialists to turn complex fraud problems into dependable systems, and you’ll be based in Singapore, working from the office five