MLOps Platform Engineer - Scale ML Infrastructure

Nanyang Technological University

Singapore

On-site

SGD 120,000 - 180,000

Full time

2 days ago

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Job summary

NTU Singapore hosts AI Singapore (AISG), where the Platforms Engineering Group designs and operates infrastructure to run large‑scale ML workloads. The MLOps role focuses on platform development, CI/CD, monitoring, and collaboration with AI project teams to accelerate research and deployment.

The role emphasizes mentorship, production readiness, and tooling automation within a national AI program hosted at NTU Singapore.

Qualifications

At least 3 years of engineering or infrastructure experience.

Responsibilities

Design, build and maintain the platform and tooling stack that enables AISG engineers to deliver their work effectively.
Serve as liaison between Platforms Engineering and AI project teams, ensuring ML tooling, infrastructure, and CI/CD pipelines are in place.
Develop and implement MLOps practices and processes, including CI/CD pipelines for ML models, automated testing, and model monitoring and versioning.
Collaborate with data scientists and data engineers to ensure ML solutions meet AISG needs and operational goals.
Build and maintain production infrastructure that is resilient, secure, and high-performing.
Implement infrastructure-as-code to automate configuration, provisioning, deployment, and monitoring.
Document and investigate issues arising from systems when they occur.
Develop tools and software to improve and automate infrastructure.
Propose and drive technical decisions to completion.
Mentor AISG Apprentices and contribute to the MLOps curriculum for the AI Apprenticeship Programme (AIAP).