At least five years of professional experience in MLOps, DevOps, or Cloud Engineering with a focus on machine learning platforms. * Profound expertise in Kubernetes, AWS EKS, and related cloud services. * Strong proficiency in Python development, scripting and automation, with hands-on experience in CI/CD pipelines as well as monitoring and observability tools (e.g. ArgoCD, GitHub Actions, Prometheus, Grafana, OpenSearch/Kibana, CloudWatch).
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