Описание: Aristocrat develops gaming content and technology, including free-to-play mobile games, regulated land-based gaming, social casino games, and regulated online real-money gaming. Product Madness specializes in social casino mobile games. Задачи: Design, train, evaluate, and retrain machine learning models, especially recommender systems, to support game features, player experience, and operational efficiency. Own model performance monitoring design, including tracking drift, data quality, and degradation, setting thresholds, and defining model health in business terms. Establish experimentation practices, including model versioning and experiment tracking, to make experiments reproducible and models easy to compare and promote. Establish model governance practices, define how models are promoted to production, and lay the foundations for communication between MLOps and Data Science. Create templates and cookiecutter scaffolding to standardize how Data Science structures, hands off, and communicates models and experiments.



Build robust training and feature-engineering pipelines and write production-ready Python and SQL. Explore and contribute to early-stage projects involving LLMs, RAG, and agentic AI where they add value as a complement to the role. Develop simple interfaces, such as Streamlit apps, to expose ML capabilities to non-technical users when useful. Collaborate with product, data, and engineering teams, and communicate results, limitations, and recommendations to technical and business audiences. Требования: At least 4 years of experience applying machine learning to real-world problems, from data to deployment. Proven experience with recommender systems, such as collaborative filtering or ranking, applied to real products. Strong Python skills and hands‑on experience with ML libraries such as scikit‑learn, Py Torch, Tensor Flow, or XGBoost. Solid SQL expertise and experience working with large data warehouses. Hands‑on experience with experiment

📌 Ml Engineer For Recommender Systems In Social Casino Games (Barcelona)
🏢 Aristocrat
📍 Barcelona