Machine Learning Engineer & Data Scientist
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La posizione
Develop, train, and deploy machine learning models to solve real business problems across forecasting, classification, clustering, and anomaly detection.
Collaborate with stakeholders to translate business goals into measurable ML success metrics and actionable data requirements.
Design robust data pipelines, feature stores, and validation strategies with a focus on data quality, leakage prevention, and cross-validation.
Build and evaluate models for tabular data and apply deep learning where appropriate, emphasizing interpretability and reliability.
Operationalize models into production via APIs or batch pipelines, monitor performance, and plan retraining and governance.
Communicate results clearly to technical and non-technical audiences and maintain reproducible workflows through thorough documentation.
Collaborate with stakeholders to translate business goals into measurable ML success metrics and actionable data requirements.
Design robust data pipelines, feature stores, and validation strategies with a focus on data quality, leakage prevention, and cross-validation.
Build and evaluate models for tabular data and apply deep learning where appropriate, emphasizing interpretability and reliability.
Operationalize models into production via APIs or batch pipelines, monitor performance, and plan retraining and governance.
Communicate results clearly to technical and non-technical audiences and maintain reproducible workflows through thorough documentation.
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