Senior AI Infrastructure Engineer - Cloud, GPU & MLOps

LTA Land Transport Authority; Singapore; On-site; SGD 110,000 - 170,000; Full time

Job summary

Land Transport Authority in Singapore seeks a Senior/Executive/Infrastructure Engineer to drive the Transport AI Programme. You will build and operate cloud and on‑premise infrastructure that underpins AI systems, ensuring reliability, security, and scalability for live transport operations.

You will collaborate with AI developers and architects to provision, automate, and maintain the environments for training, evaluation, and serving models, in a fast-moving Agile setting.

Qualifications

• Degree in CS/Engineering or related field.
• 2–4 years infra/DevOps/MLOps experience.
• Experience with at least one major cloud platform.

Responsibilities

• Provision, configure, and manage cloud and hybrid infrastructure for AI workloads.
• Build and maintain CI/CD pipelines and IaC configurations.
• Implement and manage observability tooling (logging, monitoring, tracing).
• Ensure security, compliance, and data residency for government-grade systems.
• Support MLOps workflows including model registry and experiment tracking.
• Collaborate with industry partners on infrastructure integration and deployment.

Skills

Cloud platforms experience

Cross-functional collaboration

Agile environment

Strong communication

Education

Bachelor's degree in Computer Science or Computer Engineering

Tools

AWS

Azure

GCP

Terraform

Pulumi

Kubernetes

Kubeflow

MLflow

SageMaker

Job description

Land Transport Authority in Singapore seeks a Senior/Executive/Infrastructure Engineer to drive the Transport AI Programme. You will build and operate cloud and on‑premise infrastructure that underpins AI systems, ensuring reliability, security, and scalability for live transport operations.

You will collaborate with AI developers and architects to provision, automate, and maintain the environments for training, evaluation, and serving models, in a fast-moving Agile setting.