PCovision Media is the leading 3D scanning company in the world. We leverage state-of-the-art in Computer Vision and Machine Learning to scan highest quality, relightable 3D models of objects and products at scale. /ppOur 3D scanners are used globally strongby customers such as Meta, adidas, NUREG, Inditex (ZARA, Massimo Dutti, etc.), Gucci, Salomon, Quad, and other leading brands, content creation studios, and technology companies /strong to mass produce tens of thousands of 3D assets per year. /ppOur international team of engineers is continuously looking to complement the team with the best talents that want to push the company to the next level. If you are results-driven, brilliant and want to join an ambitious company at an early stage, then this is for you. /ppWe're looking for an experienced Infrastructure Engineer to improve and scale our technical infrastructure for deployment, training pipelines, resource management, and workflow orchestration. You'll support our development and ML teams across cloud and on-premise environments. If you have experience in several of these areas and are excited about growing in others, we encourage you to apply. /ppThis is a FULL-TIME role located on-site at our Bressanone/Dolomites offices (South Tyrol region, Italy). If you are interested, please send an email with your resume to /ppstrongTasks /strong /ppstrongDevOps Deployment /strong /ppDesign and implement deployment strategies for software and assets to cloud environments and clients /ppCreate reliable pipelines for delivering and updating various resources to on-premise systems /ppBuild and maintain CI/CD pipelines for efficient software delivery /ppImprove developer experience through tooling and workflow optimization /ppstrongCompute ML Infrastructure /strong /ppManage hardware compute clusters and implement container orchestration systems for development, experimentation, and diverse workloads /ppProvision, configure, and optimize heterogeneous resources across distributed systems for parallel computing tasks /ppBuild and maintain infrastructure for ML workloads, including training pipelines and data processing /ppDesign and optimize resource allocation systems for efficient AI/ML computation /ppstrongRequirements /strong /ppBachelor's degree in Computer Science or related technical field /pp4+ years of experience in infrastructure engineering or DevOps roles /ppProficiency in English /ppExperience with containerization (Docker) and orchestration (e.g. Kubernetes) /ppKnowledge of infrastructure as code tools (Terraform, Ansible) and CI/CD pipelines /ppExperience with HPC clusters (GPU+CPU) and job scheduling systems (e.g. Slurm) /ppMLOps experience, including ML pipeline automation and experiment tracking /ppstronguNice to have: /u /strong /ppExperience with monitoring solutions (Prometheus, Grafana) /ppFamiliarity with cloud services, particularly AWS /ppUnderstanding of networking principles and implementation /ppFamiliarity with Hardware infrastructure management (IPMI, server maintenance) /ppKnowledge of 3D graphics processing or computer vision workflows /ppstrongWe offer: /strong /ppCompetitive salary package including stock-options /ppLunch voucher for working days /ppWe assist with relocation /ppFlexible working hours and work-from-home policy /ppFamily-friendly environment /ppAmazing office space in the Dolomites located at the Durst Group /ppPersonal and professional growth opportunities: Take over and own important parts of infrastructure development and help us blitz-scale /ppLearning and Development: Participate in CVML, AI, startup conferences globally /p #J-18808-Ljbffr