3+ years of professional ML engineering or production data science experience.
Proficiency in ML and statistics.
Python + data manipulation (SQL, Spark, Pandas).
Familiar with Scikit-Learn, XGBoost, PyTorch, Keras, TensorFlow, Pandas.
Experience deploying and maintaining production ML systems and monitoring performance.
Advanced degree in CS, math, stats or related field preferred.

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