Описание:Aristocrat develops content and technology for the gaming industry and publishes free-to-play mobile games. Its business units cover regulated land-based gaming, social casino, and regulated real-money online gaming.

Consulte la descripción del puesto a continuación. Si confía en que tiene las habilidades y la experiencia adecuadas, envíe su solicitud hoy mismo.
Задачи:Design, train, evaluate, and retrain Machine Learning models, especially recommendation systems, to support game features, improve player experience, and optimize operational efficiency; Lead the design of model performance monitoring by defining metrics and aspects to track, setting thresholds, and determining model reliability from a business perspective; Establish experimentation practices through model versioning and experiment tracking with tools such as MLflow or Weights & Biases,



ensuring reproducibility and easy comparison and promotion of model versions; Contribute to model governance practices by defining how models are promoted to production and establishing communication and collaboration processes between MLOps and Data Science teams; Create reusable templates and structures, such as Cookiecutter, to standardize how the Data Science team structures, delivers, and communicates models and experiments; Build robust training and feature engineering pipelines and develop clean, production-ready Python and SQL code; Explore and contribute to early-stage projects involving LLMs, RAG, and Agentic AI when they add value; these are complementary to the role, not its primary responsibility; Develop simple interfaces, such as with Streamlit, to make Machine Learning capabilities accessible to non-technical users when useful; Collaborate with Product, Data, and Engineering teams, clearly communicating results, limitations, and recommendations to technical and business audiences.
Требования:More than 4 years of experience applying Machine Learning to real-world problems, from data processing

📌 ml engineer for social casino games (Barcelona)
🏢 HireHi
📍 Barcelona