AI Infrastructure Engineer | AI Infrastructure Engineer (m/w/d)
Wölfel Group
Job Summary
This role involves building and operating scalable AI/ML infrastructures, both in cloud environments and on-premise. A key focus will be on automating deployments using Infrastructure as Code and integrating CI/CD pipelines for AI and generative AI applications. The successful candidate will ensure security, compliance (DSGVO, ISO 27001), and performance of these systems. Collaboration with Data Scientists, DevOps, IT, and external cloud providers is essential, along with active participation in architectural decisions and innovation projects. This position offers significant opportunities for professional development in Cloud AI, ML Ops, and IT Security, making it an attractive opportunity for those looking to advance their expertise in cutting-edge AI infrastructure within an established family-owned company.
Required Skills
Education
Completed vocational training with further qualification as a technician or university degree (Bachelor/Master) in Computer Science, Engineering, or Mathematics
Experience
- Professional experience in Cloud Infrastructure, DevOps, or Data Engineering
- Professional experience in architecting and operating productive AI/ML systems, ideally in an enterprise environment
- Professional experience in scripting, programming, and monitoring
Languages
Additional
- Not specified