About this role
Build and maintain data preparation and validation tooling and design ML infrastructure for model training, evaluation, and deployment. Implement CI/CD pipelines, model serving and monitoring (including drift detection and feedback loops), and partner with data science and data engineering teams to productionize models.
Skills for this role
PythonSQLData pipelinesML infrastructureMLOpsData preparationData validationData quality-checkingAWSGCPBigQueryCI/CD pipelinesModel servingBatch inferenceReal-time inferenceModel monitoringDrift detectionFeedback-loop toolingDockerKubernetesCollaboration