Project : Designing and building cloud-native, GPU-enabled AI infrastructure and large-scale MLOps platforms to support high-performance AI/ML model deployment and container orchestration.
Неизвестный работодатель · На сервисе с: 20.07.26 15:18
7075
Senior AI Infrastructure Architect, English B1+
Локация: Любая, кроме РБ и РФ
Project : Designing and building cloud-native, GPU-enabled AI infrastructure and large-scale MLOps platforms to support high-performance AI/ML model deployment and container orchestration.
Design GPU-enabled Kubernetes clusters for scalable AI workloads.
Architect and optimize MLOps pipelines and container orchestration systems.
Configure and manage high-performance cloud environments (GCP/GKE) and AI/ML platform services.
Integrate NVIDIA hardware acceleration tools to optimize model inference and training.
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.
Full-time. 6-8 months, start in 2-3 weeks.
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