Opis
Обязанности: Support the ML team in end-to-end processes including feature engineering, model selection, training, validation, and testing., Analyze large and complex datasets, ensuring they are optimized for project objectives., Work closely with Data Scientists and Data Engineers to deliver high-quality analytical solutions., Contribute to continuous improvement of ML pipelines and automation processes., Note: Detailed project information will be shared during the recruitment process.
Опыт: Strong expertise in classical ML pipelines, including hands-on experience in model lifecycle management., Proficiency in feature engineering techniques and experience with models such as: XGBoost, LightGBM, MLP, Autoencoders, etc., Advanced SQL skills (both in standard language and through Python APIs, e.g., PySpark, pandas)., Knowledge of Apache Spark will be highly appreciated., You are detail-oriented, diligent, and an excellent communicator.
Firma i link do aplikacji — po zalogowaniu.
Zaloguj sięKontakty pracodawcy (e-mail/telefon/Telegram) są ukryte w publicznym podglądzie.
Wyślij CV — a pracodawcy będą mogli napisać do Ciebie sami.