Описание:

Aristocrat advances gaming technology through modern solutions, gaming content, and technology for B2B customers, casino games, and free-to-play mobile games. The company focuses on responsible gameplay, governance, employee wellbeing, and sustainability.
Задачи:

Deploy machine learning models supporting game features, player experience, and operational efficiency
Improve the code quality of others’ work by refining SQL and Python scripts for data transformation, feature engineering, modelling pipelines, and AI applications
Explore and contribute to early-stage projects involving LLMs, RAG systems, and agentic AI for 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 for long-term performance and business alignment
Collaborate with product, data, and engineering teams to identify opportunities for ML and AI
Communicate results, limitations,



and recommendations clearly to technical and business collaborators
Требования:

5+ Years of experience applying machine learning to real-world problems from data to deployment
Strong Python skills and hands-on experience with ML Python libraries
Solid SQL expertise and experience working with large data warehouses
Experience with cloud platforms such as GCP, AWS, or Azure, Docker, and Airflow
Ability to build simple user interfaces such as Streamlit to expose ML models or AI applications to wider teams
Hands-on experience building Generative AI applications with LLMs, including API integration
Interest or early experience in RAG systems through prototypes, side projects, or professional work
Curiosity, initiative, and a desire to learn and grow in a fast-evolving space
Degree in a relevant technical field or equivalent experience
Nice to have: familiarity with agentic AI concepts or frameworks such as LangChain agents or CrewAI
Условия:

Minimal tra

📌 ml engineer in gaming technology (Madrid)
🏢 Enfint
📍 Madrid