pSystem Engineer for ML Platform on a Cloud-like HPC Infrastructure (Data-Centric Focus) /pp100%, Singapore, fixed-term /ppThe 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’s CREATE 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. /ppSet in Asia, in a rapidly urbanising region, the Singapore-ETH Centre aims to provide practical solutions to some of the most pressing challenges on urban sustainability, resilience and health through its programmes: Future Cities Lab Global (FCL Global) and Future Health Technologies (FHT). /ppThe 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. /ph3Project background /h3pThe 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). /ppThe 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. /ppAs 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. /ph3Job description /h3ulliManage 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. /liliSupport 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). /liliUse 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. /liliEnsure platform observability makes data and latent space embeddings visible and queryable for researchers throughout the model's lifetime. /liliMaintain the interface to the infrastructure provisioning APIs to support dynamic, multi-tenant vCluster creation and resource allocation. /liliSupport the end-to-end provisioning and management of the ML platform, including secret vaults, git runners, and centralized artifact repositories. /liliPosition requires quarterly travel to Switzerland to synchronise with the core Swiss team. /li /ulh3Profile /h3ulliMust-haves:ulliA bachelor’s degree or higher in computer engineering, computer science, a relevant technical field, or equivalent practical experience. /liliYou should have a knowledge of:ulliMicroservice architecture /liliLinux administration skills /liliAutomation tools and framework, including CI/CD processes and ecosystem (e.g., Gitlab CI, HashiCorp Vault) /liliDeveloping Ansible configurations /liliVersioning systems and CI/CD workflows such as ArgoCD /li /ul /li /ul /liliPreferred:ulliUnderstanding of "Data-Centric" ML principles (e.g., ensuring data quality, lineage, and versioning are first-class citizens in CI/CD). /liliExperience building CI/CD pipelines for modular scientific/ML libraries or containerized research workflows. /li /ul /liliPersonal qualities:ulliSelf-motivated and proactive team player /liliStrong communication skills or interest in developing them /liliStrong problem-solving mindset with tolerance for uncertainty and change /liliUnderstands user needs and works collaboratively to address them /liliAdaptive and willing to learn new technologies with and from others /liliComfortable tackling complex or ambiguous problems /liliComfortable admitting when you don’t know, reaching out and leveraging the right expertise when needed /li /ul /liliProject management and methodology:ulliExperience with working in self-organised teams /liliFamiliarity with Agile methodology /liliExperience with test-driven development is a plus /li /ul /li /ulh3We offer /h3ulliAccredited with 5 Tripartite Standards by Tripartite Alliance for Fair Progressive Employment Practices (TAFEP) Singapore. /liliA diverse workplace with 32 nationalities, offering ample opportunities for mutual learning. /liliPositive and inclusive working environment /lili25 days of annual leave for fixed-term contracts /lili1 day of Birthday Leave /liliAnnual dental benefits /liliCommitted to being a supportive employer as you prioritize your physical and mental wellness /liliComprehensive healthcare insurance coverage /liliFlexible hybrid work arrangement (up to 2 days per week from home) /liliAbundant networking opportunities across various disciplines /liliAccredited with NS mark certification /li /ulh3We value diversity and sustainability /h3pIn 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. /ppWork location: 1 Create Way, CREATE Tower, Singapore (NUS University Town) /ppContract Duration: 2 Years /ppSalary: Remuneration will be commensurate with the candidate's qualifications and relevant experience. /ppFurther information about The Singapore-ETH Centre can be found on our website. /ppFor further information, please contact: Prof. Duane Loh (NUS) at , (strictly no applications) /ppWe would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. /p #J-18808-Ljbffr
