About this role
The MLOps Engineer will own the operational infrastructure for the platform, including model deployment, CI/CD pipelines, and performance monitoring. Responsibilities include building scalable serving infrastructure, implementing drift detection, and ensuring production reliability for machine learning models.
Skills for this role
MLflowDatabricksTorchServeTensorFlow ServingBentoMLDockerKubernetesTerraformGitHub ActionsGitLab CIPrometheusGrafanaPythonBashAWSAzureGCP