About The Role

Join our Software Infrastructure team as an Infrastructure and MLOps Engineer. You will play a crucial role in scaling and managing our infrastructure, developing tools and services that enhance the build, test, deployment, and productization processes of our Machine Learning Software components. You will work with High-Performance Computing (HPC) AI platforms and gain valuable experience in distributed systems. The position offers flexible working arrangements, private medical insurance, a pension plan, income protection, and opportunities for career progression and development.

Développer, posséder et maintenir des outils et des services pour soutenir les équipes de recherche et d'ingénierie en IA.
Déployer et maintenir des services avec Kubernetes et Docker, et gérer notre infrastructure cloud en utilisant des outils tels que Terraform.
Travailler avec nos plateformes HPC AI et acquérir une expérience précieuse dans les systèmes distribués.
Knowledge of Python
Experience of one of the following:
Understanding of CI/CD principles
Experience using Kubernetes (k8s)
Managing ML accelerator hardware (e.g. DCGM)
Experience managing or developing in Linux environments
Deploying ML orchestration tools (e.g. NV Ray, KFP, SkyPilot)
Familiarity with cloud services (e.g. AWS)
Maintaining machine learning applications
Knowledge of Go/Java/C++ (or similar language)
Experience with Grafana
Experience with modern observability tooling (e.g. Prometheus)
Experience with GitHub Actions
Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu)

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