Platforms Engineer, MLOps

Nanyang Technological University; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

NTU Main Campus in Singapore invites applications for a Platforms Engineer, MLOps, hosted by AISG under the Office of the Vice President for AI & Digital Economy. You will design, build and maintain the platform and tooling stack that enables AISG engineers to deliver work efficiently.

You will implement ML pipelines, CI/CD, and model monitoring while collaborating with data scientists and other stakeholders to align ML solutions with AISG's goals.

Qualifications

• At least 3 years of engineering or infrastructure experience.
• Proficiency in Python, Go, Rust, or JavaScript/TypeScript (Python/TypeScript preferred).
• Proficiency with Linux systems administration.
• Experience with automation tools (Ansible, Terraform, Bash).
• Familiarity with containers and orchestration (Docker, Kubernetes, Helm).
• Cloud platforms exposure (AWS, Azure, GCP).
• Strong DevOps/MLOps practices and agile development mindset.
• Excellent communication skills.

Responsibilities

• Design, build and maintain platform and tooling stack for AISG engineers.
• Serve as liaison between Platforms Engineering and AI project teams to ensure ML tooling and CI/CD.
• Develop MLOps practices, including ML pipelines, testing, and model monitoring/versioning.
• Collaborate with data scientists and data engineers to meet AISG needs.
• Build production infrastructure that is resilient, secure and high-performing.
• Apply infrastructure-as-code to automate provisioning, deployment and monitoring.
• Document and investigate system issues and drive technical decisions to completion.
• Mentor AISG Apprentices and contribute to the MLOps curriculum.

Skills

Python

Go

Rust

JavaScript/TypeScript

Linux administration

DevOps/MLOps

Agile development

Communication skills

CI/CD practices

Tools

Ansible

Terraform

Bash

Docker

Kubernetes

Helm

Prometheus

Grafana

Job description

Platforms Engineer, MLOps### Platforms Engineer, MLOpsApply: NTU Main Campus, Singapore: Full time: Posted Today: R00023666AI Singapore (AISG) is a national initiative driven by the Ministry of Digital Development and Information (MDDI), the Infocomm Media Development Authority (IMDA), and the National Research Foundation, Singapore (NRF).AISG brings together Singapore-based research institutions and the broader ecosystem of AI start-ups and companies to support impactful research, develop talent and power Singapore's AI efforts.For more information on AI Singapore, please visit https://www.aisingapore.org.This position will be hosted at the Nanyang Technological University (NTU) under VP (Artificial Intelligence & Digital Economy)’s office and we welcome you to join our community. **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). **To succeed in this role, you should have:****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