Overview
We’re hiring on behalf of a fast-growing tech company specializing in large-scale 3D content creation powered by advanced Computer Vision and Machine Learning. Their technology is used globally across industries like fashion, retail, and media to produce high-quality, relightable 3D models at scale.
To support continued growth, the team is seeking a skilled Infrastructure Engineer to help scale and maintain the systems behind their cutting-edge AI and scanning workflows. This role supports both cloud and on-premise environments and is critical to development, deployment, and ML operations.
Key Responsibilities
* Design deployment strategies for software and assets across cloud and local systems.
* Build and maintain CI / CD pipelines and testing infrastructure.
* Manage compute clusters and container orchestration platforms (e.G. Kubernetes).
* Develop infrastructure for ML training pipelines and data workflows.
* Optimize resource scheduling and distributed compute environments.
Requirements
* 4+ years in infrastructure engineering or DevOps.
* Proficient with Docker, CI / CD tooling, and infrastructure-as-code (e.G. Terraform, Ansible).
* Experience with GPU / CPU clusters and job schedulers (e.G. Slurm).
* Familiarity with MLOps and experiment tracking.
* Fluent in English and Italian or German.
* AWS / cloud experience, monitoring tools (Prometheus, Grafana), networking, or server maintenance (nice to have).
* Background in 3D processing or computer vision workflows (nice to have).
Join an international team building the infrastructure behind a next-gen 3D technology platform used by some of the world’s most forward-thinking companies.
Interested? Apply now or email your CV to to be part of an international team pushing the limits of 3D technology and AI infrastructure.
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