12 oct
|
Aristocrat
|
Barcelona
12 oct
Aristocrat
Barcelona
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, PyTorch, TensorFlow, or XGBoost.
- Solid SQL expertise and experience working with large data warehouses.
- Hands‑on
📌 ml engineer for recommender systems in social casino games (Barcelona)
🏢 Aristocrat
📍 Barcelona