Description
Обязанности: Support the ML team with feature engineering, model selection, training, validation, and testing, Analyze datasets to evaluate their suitability and contribution to projects, Collaborate closely with data scientists and data engineers to enhance pipeline performance
Опыт: At least 3 years of experience in classical ML pipelines, Hands-on knowledge in feature engineering and models such as XGBoost, LightGBM, MLP, autoencoders, etc., Advanced SQL skills in standard language and proficiency with Python APIs (PySpark, pandas), A detail-oriented and diligent personality with excellent communication skills, Knowledge of Apache Spark
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