ML engineer at an iGaming company who builds and maintains personalization models end to end: framing business problems as ML tasks, training, deployment, monitoring with dashboards/alerts, and validating impact via A/B tests. Core stack: Python, SQL (ClickHouse a plus), Airflow, MLflow/ClearML, scikit-learn, CatBoost/XGBoost, PyTorch/TensorFlow. Open to candidates worldwide who have already reloc
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