Platforms Engineer, MLOps

Nanyang Technological University; Singapore; On-site; SGD 120,000 - 180,000; Full time

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).

Skills

Python

Go

Rust

JavaScript/TypeScript

Linux

Ansible

Terraform

Docker

Kubernetes

Helm

AWS

CI/CD

Tools

Docker

Kubernetes

Helm

Ansible

Terraform

Bash

Prometheus

Grafana

Job description

AI Singapore (AISG) is Singapore's national programme in artificial intelligence, launched by the National Research Foundation (NRF) to anchor deep national capabilities in AI. Hosted at Nanyang Technological University (NTU), AI Singapore brings together Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies to perform use‑inspired research, grow knowledge, create tools, and develop the talent to power Singapore's AI efforts. Since our inception in 2017, we have established a culture of respect, continuous learning, experimentation and curiosity, centred around innovation.

The Platforms Engineering Group builds and operates the infrastructure and systems that enable AI practitioners across AISG's programmes to develop, train, and deploy machine learning models at scale. The group comprises four teams: Infrastructure Operations (InfraOps), Data Operations (DataOps), Machine Learning Operations (MLOps), and Experiences (EX). As a Platforms Engineer, MLOps in the Platforms Engineering Group, you will help build and operate modern infrastructure and systems to run large‑scale machine learning and deep learning workloads. You will also design, develop, and maintain the AISG platform and tooling stack to enable project teams and partners to build products better and faster. You will serve as a domain expert to nurture AI talents and play a key part in driving the growth of Singapore's AI sector.

Key Responsibilities

In this role, you will:

• Design, build and maintain the platform and tooling stack that empowers AISG engineers to deliver their work effectively.
• Serve as the liaison between Platforms Engineering and AI project teams, ensuring they have the right ML tooling, infrastructure, and CI/CD processes 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, data engineers, and other stakeholders to ensure that ML solutions meet AISG's needs and are aligned with operational goals.
• Build and maintain production infrastructure to be resilient, secure, and high‑performing.
• Implement infrastructure‑as‑code to automate systems configuration, provisioning, deployment, and monitoring.
• Document and investigate issues arising from our systems when they occur.
• Develop tools and software that 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).

Key Qualifications

Must‑haves:

• At least 3 years of experience in an engineering or infrastructure position.
• Proficiency in at least one programming language such as Python, Go, Rust, or JavaScript/TypeScript (proficiency in Python and TypeScript is highly preferable).
• Proficiency in administering Linux systems.
• Proficiency in at least one automation tool (e.g., Ansible, Terraform, Bash).
• Familiarity with container and container orchestration technologies (e.g., Docker, Kubernetes, Helm).
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• A systematic approach to development and engineering, including debugging, DevOps/MLOps practices, and agile development.
• Excellent communication skills, including the ability to express complex ideas clearly.

Good‑to‑haves:

• Basic proficiency in machine learning concepts, including data analysis, predictive modelling, and model evaluation.
• Experience with ML experiment tracking tools (e.g., MLflow, Weights & Biases).
• Experience with infrastructure‑as‑code and GitOps workflows.
• Familiarity with observability tools (e.g., Prometheus, Grafana).
• Experience mentoring or training others in a technical capacity.

Candidates with relevant professional experience or graduates of the AI Singapore AI Apprenticeship Programme (AIAP) are welcome to apply.

We offer a dynamic environment at the forefront of Singapore's national AI efforts, opportunities to work with cutting‑edge AI/ML infrastructure, and a culture that values continuous learning and professional development.

We regret that only shortlisted candidates will be notified.

Hiring Institution

NTU A research‑intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world‑class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 GreenMark‑certified (equivalent to LEED‑certified) buildings, of which 95% are certified GreenMarkPlatinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech‑enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

For more information, visit www.ntu.edu.sg