AI Infrastructure & MLOps Lead

Singapore Land Authority; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Singapore Land Authority invites an AI Engineer to join the Digital, AI and Transformation Department, focused on generalist technical execution and infrastructure enabling AI capabilities. This role supports domain experts by handling foundational engineering for business-critical AI solutions and strategic initiatives.

Responsibilities include building robust data pipelines, maintaining ML workflows in GCC, and implementing MLOps for deployment and monitoring, ensuring secure, compliant AI

Qualifications

• Bachelor's degree in Computer Science, Data Science, AI/ML or related field.
• 3+ years of experience in AI/ML engineering or related roles.
• Strong Python programming with AI/ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with cloud infrastructure management for AI workloads (AWS, Azure, or GCP).

Responsibilities

• Manage and maintain GCC cloud environments for AI workloads.
• Ensure secure connectivity between internal government systems and AI tools and platforms.
• Perform ongoing system maintenance and monitoring to guarantee optimal AI model performance.
• Implement MLOps practices for model deployment, monitoring, and maintenance.

Skills

Python

TensorFlow

PyTorch

scikit-learn

MLOps

API development

Data pipelines/ETL

Education

Bachelor's degree in Computer Science, Data Science, AI/ML or related field

Tools

Docker

Kubernetes

Job description

Singapore Land Authority invites an AI Engineer to join the Digital, AI and Transformation Department, focused on generalist technical execution and infrastructure enabling AI capabilities. This role supports domain experts by handling foundational engineering for business-critical AI solutions and strategic initiatives.

Responsibilities include building robust data pipelines, maintaining ML workflows in GCC, and implementing MLOps for deployment and monitoring, ensuring secure, compliant AI