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.

Hiring Institution: NTU