System Engineer for ML Platform on a Cloud-like HPC Infrastructure (Data-Centric Focus)

Eidgenössische Technische Hochschule Zürich; Singapore; On-site; SGD 90,000 - 130,000; Full time

Benefits offered by this job

Healthcare insurance

NS mark certification

Hybrid work

Job summary

The Singapore-ETH Centre is hiring a System Engineer for ML Platform on a Cloud-like HPC Infrastructure with a data-centric focus. You will manage the ML platform across data tokenization to model cartography, collaborating with researchers and engineers.

Position requires quarterly travel to Switzerland and strong automation, CI/CD, and Ansible experience. We offer a diverse, inclusive environment with flexible hybrid work arrangements.

Qualifications

• Bachelor’s degree or higher in computer engineering, computer science, or related field.
• Knowledge of automation tools and CI/CD processes and ecosystem (Gitlab CI, HashiCorp Vault).
• Developing Ansible configurations.
• Versioning systems and CI/CD workflows such as ArgoCD.
• Understanding Data-Centric ML principles and CI/CD integration.

Responsibilities

• Manage the ML platform with a data-centric focus across the full research lifecycle.
• Support data-centric CI/CD pipelines and artifact provenance.
• Use Ansible to manage modular vService integrations (Token-Cartographer components).
• Ensure platform observability for data and latent space embeddings.
• Maintain interfaces to infrastructure provisioning APIs for multi-tenant vClusters.
• Assist end-to-end provisioning and management of the ML platform, including secret vaults and artifact repositories.

Skills

Automation tools

CI/CD pipelines

Ansible configurations

Gitlab CI

ArgoCD

Data-Centric ML

Team collaboration

Agile methodologies

Communication skills

Self-motivation

Education

Bachelor's degree or higher

Tools

Gitlab CI

HashiCorp Vault

Ansible

ArgoCD

Vault

Job description

System Engineer for ML Platform on a Cloud-like HPC Infrastructure (Data-Centric Focus)

The Singapore-ETH Centre was established in 2010 by ETH Zurich - The Swiss Federal Institute of Technology and Singapore’s National Research Foundation (NRF), as part of the NRF’sCREATE campus. As ETH Zurich's only research centre outside of Switzerland, the centre has strengthened the research capacity of ETH Zurich to develop sustainable solutions to global challenges in Switzerland, Singapore and the surrounding regions.

The centre serves as an intellectual hub for research, bringing together principal investigators and researchers from diverse disciplines and backgrounds. To promote the exchange of ideas and expertise, our researchers actively collaborate with universities and research institutes and engage with industry and government agencies to translate knowledge to practical solutions to real-world problems.

Project background

The AIS Instrumentation Gym is a multi-tier ML platform being built by both the National University of Singapore and the Singapore-ETH Centre (SEC) for shared scientific instruments (e.g., electron microscopy, X-ray imaging, and light microscopy). It supports researchers across three compute scales: laptop-based prototyping (S-Gym), single-GPU workstations (M-Gym), and multi-node HPC at the National Supercomputing Centre Singapore (L-Gym).

The Gym's purpose is to close the gap between high-dimensional scientific data and hypothesis generation. It does this by turning raw imaging data into learned, interpretable representations that scientists can explore as navigable landscapes: making patterns, anomalies, and structure legible at scales human intuition can no longer reach unaided.

As an ecosystem, the Gym brings together domain scientists, ML researchers, and systems builders around a common platform. We are now hiring full-time engineers and researchers to build, validate, and scale it.

As a System Engineer for ML Platform on a Cloud-like HPC Infrastructure (Data-Centric Focus) you will:

• Manage the ML platform with a data-centric focus, ensuring infrastructure supports the full research lifecycle—from data tokenization to model cartography and validation—rather than just code deployment.


• Support data-centric CI/CD pipelines that ensure the automatic logging of artifact provenance (linking specific training data IDs, preprocessing logs, and model hyperparameters to deployment artifacts).


• Use automation frameworks (Ansible) to manage modular vService integrations, allowing the seamless incorporation of Token-Cartographer components (e.g., tokenization and alignment modules) into research environments.


• Ensure platform observability makes data and latent space embeddings visible and queryable for researchers throughout the model's lifetime.


• Maintain the interface to the infrastructure provisioning APIs to support dynamic, multi-tenant vCluster creation and resource allocation.


• Support the end-to-end provisioning and management of the ML platform, including secret vaults, git runners, and centralized artifact repositories.

Position requires quarterly travel to Switzerland to synchronise with the core Swiss team. Join us to operate an ML platform at the bleeding edge of innovation, driving impact within a world-class tech stack.

Profile

Must-haves:

• A bachelor’s degree or higher in computer engineering, computer science, a relevant technical field, or equivalent practical experience.


• You should have a knowledge of:


• Automation tools and framework, including CI/CD processes and ecosystem (e.g., Gitlab CI, HashiCorp Vault)


• Developing Ansible configurations


• Versioning systems and CI/CD workflows such as ArgoCD

Preferred:

• Understanding of \"Data-Centric\" ML principles (e.g., ensuring data quality, lineage, and versioning are first-class citizens in CI/CD).


• Experience building CI/CD pipelines for modular scientific/ML libraries or containerized research workflows.


• Self-motivated and proactive team player


• Strong communication skills or interest in developing them


• Strong problem-solving mindset with tolerance for uncertainty and change


• Understands user needs and works collaboratively to address them


• Adaptive and willing to learn new technologies with and from others


• Comfortable tackling complex or ambiguous problems


• Comfortable admitting when you don’t know, reaching out and leveraging the right expertise when needed


• Project management and methodology:


• Experience with working in self-organised teams


• Familiarity with Agile methodology


• Experience with test-driven development is a plus

Workplace

We offer

• Accredited with 5 Tripartite Standards by Tripartite Alliance for Fair & Progressive Employment Practices (TAFEP) Singapore.


• A diverse workplace with 32 nationalities, offering ample opportunitiesfor mutual learning.


• Positive and inclusive working environment


• 25 days of annual leave for fixed-term contracts


• 1 day of Birthday Leave


• Committed to being a supportive employer as you prioritize your physical and mental wellness


• Comprehensive healthcare insurance coverage


• Flexible hybrid work arrangement (up to 2 days per week from home)


• Accredited with NS mark certification

The Singapore-ETH Centre is an equal opportunity and family-friendly employer. All candidates will be evaluated on their merits and qualifications, without regards to gender, race, age or religion.

In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future .

Curious? So are we.

Work location: 1 Create Way, CREATE Tower, Singapore 138602 (NUS University Town)

Contract Duration: 2 Years

Salary : Remuneration will be commensurate with the candidate's qualifications and relevant experience.

Further information about The Singapore-ETH Centre can be found on our website .

For further information, please contact: Prof. Duane Loh (NUS) at [e-mail], (strictly no applications)

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.

The Singapore-ETH Centre provides a multicultural and interdisciplinary environment to researchers working on diverse themes focussed on sustainable and liveable cities, resilient urban systems, and patient-centric healthcare. The centre is home to a community of over 100 doctoral, postdoctoral and professorial researchers working in three main programmes: Future Cities Laboratory, Future Resilient Systems, and Future Health Technologies.