Architect and maintain the infrastructure that powers our AI-driven solutions at global scale.
Design high-availability systems for AI workloads across multiple cloud providers
Build and maintain enterprise-grade deployment pipelines for AI model releases
Implement comprehensive observability for AI infrastructure at scale
Design and maintain cloud infrastructure for AI model serving
Implement continuous delivery pipelines for AI training jobs
Create monitoring systems for AI inference latency and accuracy
Optimize infrastructure costs for ml model training workloads
Implement security controls for data pipelines and model storage
Shape the infrastructure behind systems used by millions
Work with the latest ML infrastructure and DevOps tools
Mentorship from infrastructure and machine learning leaders
Flexible work arrangements including remote and hybrid
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