Support machine learning model serving at Baseten through scalable infrastructure, performance standards, and dependable operational processes. Learn directly from users building AI products.
As a Cloud Platform Engineer, you will build systems that keep model deployment and operation scalable, reliable, and productive. Your work may include multi-cloud capacity management, B200 GPU inference, multi-node inference, and fractional H100 GPU serving. You will also automate deployments, monitor systems, and manage incidents while owning projects end to end.

Key Responsibilities





Maintain infrastructure supporting machine learning model operationsOptimize infrastructure performance and manage operational incidentsAutomate deployments and relevant engineering processesOwn products and projects through specification and executionMentor junior team members and share organizational knowledgeRequirements:
Experience maintaining scalable infrastructureExtensive experience with KubernetesExperience with infrastructure-as-code toolsExperience with CI/CD toolingOpenness to learning machine learning without prior experienceApply infrastructure engineering judgment to help Baseten operate advanced model-serving systems across evolving AI workloads.
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📌 Machine Learning Infrastructure Engineer (Winnipeg)
🏢 Baseten
📍 Winnipeg