Staying updated with ML engineering frameworks such as TensorFlow Extended (TFX), MLflow, Kubeflow, and cloud platforms (AWS, GCP, Azure) helps women with a data science background bridge the gap to engineering roles. Mastery of these tools signals readiness to manage ML pipelines and production systems effectively.
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