Senior ML Platform Engineer — Risk & Deployment

Airwallex-; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Airwallex is seeking a Senior ML Platform Engineer to build and scale the machine learning platform powering risk decisioning across the company. You will design reliable data and model infrastructure, productionize ML workflows, and improve experimentation and decisioning speed.

Based in Singapore, you will collaborate with ML engineers, data scientists, product managers, and risk experts to turn complex fraud and risk problems into dependable systems, ensuring the safety and efficiency of

Qualifications

• 5+ years of software engineering experience with 3+ years in ML training infra or MLOps.
• BS or MS in CS, Engineering or related field.
• Hands-on with PyTorch, TensorFlow or JAX and model training engines.
• Strong in Python, Java or C++.
• Experience with Kubernetes, Ray, Kubeflow Pipelines, Airflow.
• GPU architectures and GPU-based training/inference optimization.

Responsibilities

• Build and scale ML platform for risk decisioning.
• Design data and model infra and productionise workflows.
• Collaborate with ML engineers, data scientists, PMs, risk specialists.
• Improve speed and quality of experimentation and decisioning.

Skills

Python

Java

C++

Deep learning

MLOps

Kubernetes

Ray

Kubeflow Pipelines

Airflow

GPU acceleration

Education

Bachelor's or Master's in CS/Engineering

Tools

PyTorch

TensorFlow

JAX

NVIDIA Nsight Systems

AWS

GCP

Kubeflow Pipelines

Airflow

Job description

Airwallex is seeking a Senior ML Platform Engineer to build and scale the machine learning platform powering risk decisioning across the company. You will design reliable data and model infrastructure, productionize ML workflows, and improve experimentation and decisioning speed.

Based in Singapore, you will collaborate with ML engineers, data scientists, product managers, and risk experts to turn complex fraud and risk problems into dependable systems, ensuring the safety and efficiency of