Senior AI Infrastructure Architect
RemoteJul 20
About the job
Design and build cloud-native, GPU-enabled AI infrastructure and large-scale MLOps platforms to support high-performance AI/ML model deployment and container orchestration
Requirements
- Deep expertise in Kubernetes orchestration, containerization, and cloud-native infrastructure design
- Strong hands-on experience in Google Cloud Platform (GCP), specifically Google Kubernetes Engine (GKE) and Vertex AI
- Solid proficiency in MLOps platform development and large-scale AI/ML deployment methodologies
- Deep understanding of the NVIDIA AI ecosystem, including CUDA, TensorRT, Triton Inference Server, and NVIDIA NIM
Source: Telegram channel Вакансии IT . Рекрутер Шатило Вероника
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