Looking for a Senior AI Infrastructure Architect, English B1+

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Looking for a Senior AI Infrastructure Architect, English B1+ 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. Hourly rate is negotiable. ——— Контакт: [handle]

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