Описание:

Aristocrat is a integral leader in gaming content and technology and a leading publisher of free-to-play mobile games. The company provides high-performing solutions to B2B customers and creates casino and mobile games enjoyed by millions of players, while promoting responsible gaming, corporate governance, employee wellbeing, and sustainability.
Задачи:

Deploy machine learning models supporting gaming functionality, player experience, and operational efficiency;
Improve code quality by optimizing SQL and Python scripts for data transformation, feature engineering, modeling pipelines, and AI applications to ensure production readiness;
Explore and contribute to early-stage projects involving LLMs, RAG systems, and agentic AI for new types of automation and decision support;
Develop or refine Streamlit-based tools that present ML/AI capabilities to non-technical users through intuitive and interactive interfaces;
Help build and implement model monitoring systems to ensure long-term performance and business alignment;
Collaborate with product, data,



and engineering teams to identify where ML and AI can add value;
Communicate results, limitations, and recommendations clearly to both technical and business stakeholders.
Требования:

More than 5 years of experience applying machine learning to real-world problems, from data through deployment;
Strong Python knowledge and practical experience with Python ML libraries;
Proficiency in SQL and experience working with large data warehouses;
Comfortable working with cloud platforms such as GCP, AWS, or Azure, as well as Docker and Airflow;
Ability to create simple user interfaces, for example with Streamlit, to expose ML models or AI applications to broader teams;
Practical experience developing generative AI applications with LLMs, including API integration;
Interest or initial experience with RAG systems through prototypes, personal projects, or professional experience;
Curiosity, initiative, and willingness to lea

📌 ml engineer for gaming products (Madrid)
🏢 Enfint
📍 Madrid