Not specified (assumed hybrid based on the nature of the role)
5+ years backend software development
2+ years ai/ml platform experience
Kubernetes and cloud services expertise
Airwallex is seeking a Senior ML Platform Engineer for their new AI team in Singapore, focused on building cutting-edge machine learning infrastructure. The role involves designing and maintaining MLOps platforms to support Data Science and ML Engineering teams in deploying high-performance models
Job Summary
The role involves building the next generation of machine learning infrastructure to empower Data Science teams in rapidly deploying high-performance models.
You will be responsible for designing end-to-end MLOps platforms using Kubernetes while ensuring robust security and compliance standards.
This position is crucial for driving innovation within Airwallex's new AI team by supporting both traditional ML and Large Language Model use cases.
Matching Summary
Match Score: 85
Airwallex is seeking a Senior ML Platform Engineer for their new AI team in Singapore, focused on building cutting-edge machine learning infrastructure. The role involves designing and maintaining MLOps platforms to support Data Science and ML Engineering teams in deploying high-performance models.
Skills & Requirements
Must-have
5+ years backend software development
2+ years AI/ML Platform experience
Kubernetes and Cloud Services expertise
Terraform Infrastructure as Code
Python programming proficiency
Low-latency model serving design
CI/CD/CT pipeline automation
Nice-to-have
Distributed compute frameworks like Ray or Spark
LLM serving optimization tools vLLM or Triton
GPU resource management experience
Feature Store integration knowledge
Strong mentoring and communication skills
Experience with Kubeflow Pipelines
Key Requirements
5+ years backend software development
2+ years focus on AI/ML Platform
Relevant degree in Computer Science or Mathematics
Proficiency in Python coding
Experience with distributed high concurrency systems