Senior AI Infrastructure Architect
Job description
Hi colleagues, we are looking fo**r Senior AI Infrastructure Architect **
**Location: ๐**
- EU (ONLY) ๐ช๐บ
**Other details: **
- Full-time workload
- Duration: 6โ8 months
- English level: B1+
Cloud-native AI infrastructure and large-scale MLOps platform for security and urban intelligence solutions .
The role focuses on GPU-enabled Kubernetes environments, high-performance model training, inference, and production deployment ๐ป.
**Requirements: ๐**
- Senior-level experience in AI infrastructure, cloud architecture, or MLOps platform engineering
- Deep expertise in Kubernetes, containerization, and cloud-native infrastructure
- Strong hands-on experience with GCP and GKE
- Practical experience with Vertex AI
- Proven experience designing and operating large-scale MLOps platforms
- Strong knowledge of AI/ML training, inference, deployment, and production operations
- Deep experience with NVIDIA AI ecosystem: CUDA, TensorRT, Triton Inference Server, NVIDIA NIM