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A day in the life
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- Experience with Python programming and data analysis libraries (Pyspark, NumPy, Pandas, Scikit-learn)
- Understanding of basic machine learning concepts and algorithms (e.g. Neural Networks, XGBoost, Transformer)
- Experience with PyTorch or other deep learning frameworks
- Knowledge in recommendation systems or personalization
- Experience with AWS services, particularly SageMaker
- Experience of feature engineering and model evaluation metrics
- Familiarity with PySpark or other big data processing frameworks
- Experience with large scale distributed systems
- Experience of building solutions using AWS technologies
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