Platforms Engineer, MLOps

AI 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.