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описание
En este momento, no podemos tramitar visados de trabajo para este puesto. Los candidatos deben tener permiso para trabajar a tiempo completo en el país donde se ofrece la vacante, sin necesidad de visado ahora ni en el futuro.
Aristocrat is a global 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 learn and grow in a rapidly evolving environment;
University 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
Attractive benefits package;
International career opportunities;
No work travel required;
Work visa sponsorship is unavailable; candidates must have permission to work full-time in Spain without requiring a visa now or in the future.
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