大模型训推安全专家 - 安全与风控
Core
Design and implement end-to-end security architecture for large model training and inference infrastructure, protecting core assets like data, weights, and logs from internal and external threats.
Role type
Senior IC security engineer (LLM training/inference security)
Builds
Secure training clusters, inference services, data pipelines, and model storage systems
Domain
AI/ML infrastructure security
Deliverable
production ML models
Required skills
Cloud-native security, Kubernetes security, distributed systems security, GPU cluster security, data security, access control, zero trust architecture, Python/Go/C++ development, code auditing
Preferred skills
LLM training/inference architecture knowledge, internal threat detection, data loss prevention (DLP), model anti-theft, supply chain security
Technologies
Kubernetes, containers, distributed systems, GPU clusters, Python, Go, C++