ML Platform Engineer - Data-Centric HPC

Singapore-ETH Centre; Singapore; Hybrid; SGD 90,000 - 130,000; Full time

Benefits offered by this job

25 days of annual leave

Birthday Leave

Flexible hybrid work (up to 2 days/wk)

Job summary

The Singapore-ETH Centre is hiring a System Engineer for ML Platform on a Cloud-like HPC Infrastructure (Data-Centric Focus). You will manage the ML platform across data tokenization, model cartography and validation, enabling researchers to explore latent spaces via scalable, multi-tenant infrastructure.

The role includes automating CI/CD pipelines, maintaining secret vaults and artifact repositories, and ensuring platform observability.

Qualifications

• Bachelor's degree or higher in computer engineering, computer science, a relevant field or equivalent experience.
• Knowledge of automation tools and CI/CD processes and ecosystems (Gitlab CI, HashiCorp Vault).
• Developing Ansible configurations.
• Versioning systems and CI/CD workflows such as ArgoCD.

Responsibilities

• Manage ML platform with a data-centric focus across tokenization, cartography, and validation.
• Support data-centric CI/CD pipelines with artifact provenance tracking.
• Use Ansible to manage modular vService integrations for research environments.
• Ensure platform observability and provision multi-tenant resources.
• Maintain secret vaults, git runners, and centralized artifact repositories.

Skills

Automation tools

CI/CD pipelines

Ansible configurations

ArgoCD workflows

Versioning systems

Education

Bachelor's degree or higher in computer engineering / computer science / related field

Tools

Gitlab CI

HashiCorp Vault

Job description

The Singapore-ETH Centre is hiring a System Engineer for ML Platform on a Cloud-like HPC Infrastructure (Data-Centric Focus). You will manage the ML platform across data tokenization, model cartography and validation, enabling researchers to explore latent spaces via scalable, multi-tenant infrastructure.

The role includes automating CI/CD pipelines, maintaining secret vaults and artifact repositories, and ensuring platform observability.