AI/ML Platform Engineer: Kubernetes & GPU Infra at Scale
Deepgram
Deepgram is seeking an experienced Platform Engineer to build and operate the hybrid infrastructure foundation for AI/ML research and product development. You will architect, build, and run platforms spanning AWS and on‑premises, enabling teams to train and deploy complex models at scale. You’ll collaborate with AI researchers and engineers to design tools, automate deployment cycles, and optimize performance and cost across cloud and bare‑metal environments. #J-18808-Ljbffr Deepgram
Vacancy posted 4 days ago
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...About the Role The Engineering Acceleration Delivery... ...We own the deployment platform, release pipelines, and... ...reliability, and large-scale infrastructure... ...changes across dozens of Kubernetes clusters and global regions... ...using modern AI tooling. Technologies...OpenAI
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...Roche. Advances in AI, data, and... ...the machine learning platforms that enable researchers and engineers to move models from... ...easier to deploy, scale, observe, and safely... ...inference workloads, GPU-backed services, agentic... ...infrastructure, Kubernetes, and distributed systems...Local areaImmediate startWorldwideRelocation packageGenentech
South San Francisco, CA1 day ago
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