You collaborate closely with , AI/ML engineers, and cloud architects to ensure robust infrastructure for the entire AI/ML lifecycle. Together, we enable innovative AI solutions by providing robust, cloud-native infrastructure for the entire machine learning lifecycle. * 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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