What you will be doing:

• Collaborate with data scientists to identify and extract relevant features from raw data
• Preprocess and transform data to make it suitable for machine learning models
• Create new features by combining, modifying, or aggregating existing features
• Evaluate the quality of features and assess their impact on model performance
• Monitor feature drift and update features over time to maintain model performance
• Keep up with the latest advancements in feature engineering techniques and tools.
• Implement and utilize engineering best practices and methods to deploy and maintain quality, curated data sets using Airflow, including automated alerting and anomaly detection into data flows to ensure data quality and integrity

   

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