CareerPlanGet AI match score →

AI Engineer (Machine Learning/Cloud Infrastructure)

Singapore💼 Full-time🗓 2026-05-23 → 2026-07-28

Core

Design, build, and maintain secure cloud infrastructure and MLOps pipelines for enterprise AI workloads and model deployment.

Role type

Senior IC AI/ML Infrastructure Engineer

Builds

Production AI model serving infrastructure, data pipelines, and secure cloud environments

Domain

Government technology / Cloud Infrastructure / Machine Learning

Deliverable

infrastructure

Required skills

Python, TensorFlow, PyTorch, scikit-learn, AWS, Azure, GCP, MLOps, API development, ETL processes

Preferred skills

Government Commercial Cloud (GCC) experience, AI governance frameworks knowledge

Technologies

TensorFlow, PyTorch, scikit-learn, AWS, Azure, GCP

Responsibilities

Manage and maintain cloud environments for AI workloads; Conduct technical evaluation of AI tools and frameworks; Develop and maintain data pipelines for AI training and inference; Implement MLOps practices for model deployment and monitoring; Monitor system performance and maintain reliability of AI models in production; Implement security controls for AI data handling and model deployment

Seniority

Senior, hands-on IC

Sourced via adzuna · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Adzuna ↗