Some of your responsibilities include -  Design & build data pipelines and production level ML infrastructure, using tools such as TFX, Kubernetes, Kubeflow Pipelines, TensorFlow Work with data engineering teams to iterate upon the pipelines that feed the data science models Deploy ML models under the constraints of scalability, correctness and maintainability