Capgemini Engineering seeks a Senior DevOps Engineer to build, operate, and evolve large-scale infrastructure for ML workloads on Kubernetes. You will implement batch schedulers, maintain CI/CD pipelines, and optimize production workloads across AWS EKS and other clouds.
You will collaborate with data scientists, ML engineers, and software engineers to productionize ML solutions, ensuring observability, security, and reliability across distributed systems.
📌 Remote Senior Devops Engineer – Kubernetes & Ml Infra Toronto
🏢 Capgemini Engineering
📍 Toronto
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