Data-Centric ML Platform Engineer – HPC Cloud, Singapore

1000scholars; Zürich; Hybrid; CHF 78,000 - 117,000; Full time

Benefits offered by this job

Hybrid work

Birthday Leave

Dental benefits

Healthcare insurance

Annual leave

Job summary

The Singapore-ETH Centre in Singapore is seeking System Engineer for ML Platform on a Cloud-like HPC Infrastructure with a data-centric focus. The role requires managing the ML platform across the full research lifecycle and collaborating with researchers and engineers.

The position is fixed-term (2 years) and involves quarterly travel to Switzerland. We offer a flexible hybrid work arrangement (up to 2 days per week from home) and generous leave benefits.

Qualifications

• Bachelor’s degree or higher in computer engineering, CS, or equivalent.
• Knowledge of Microservice architecture and Linux administration.
• Automation tools and CI/CD ecosystems (GitLab CI, Vault).
• Developing Ansible configurations.
• Versioning systems and CI/CD workflows such as ArgoCD.

Responsibilities

• Manage the ML platform with a data-centric focus across the full research lifecycle.
• Support data-centric CI/CD pipelines for artifact provenance.
• Use automation frameworks (Ansible) to manage modular vService integrations.
• Ensure platform observability for data and latent space embeddings.
• Maintain interfaces to infrastructure provisioning APIs for multi-tenant vClusters.
• Oversee provisioning and management of secret vaults, git runners, and central artifact repositories.
• Position requires quarterly travel to Switzerland to synchronize with the core Swiss team.

Skills

Microservice architecture

Linux administration

CI/CD pipelines

Ansible configurations

GitLab CI

HashiCorp Vault

ArgoCD

Education

Bachelor's degree in Computer Engineering

Bachelor's degree in Computer Science

Tools

GitLab CI

ArgoCD

Ansible

HashiCorp Vault

Job description

The Singapore-ETH Centre in Singapore is seeking System Engineer for ML Platform on a Cloud-like HPC Infrastructure with a data-centric focus. The role requires managing the ML platform across the full research lifecycle and collaborating with researchers and engineers.

The position is fixed-term (2 years) and involves quarterly travel to Switzerland. We offer a flexible hybrid work arrangement (up to 2 days per week from home) and generous leave benefits.