ph3Descripción del trabajo /h3 pAt Aristocrat, we are advancing gaming technology with modern, powerful solutions. Our mission is to bring happiness to life through play. We value collaboration, creativity, and a strong passion for excellence. We seek an ambitious ML/AI Engineer to join our team. You will help improve our AI capabilities and craft the future of our products. This role offers a chance to work on mature machine learning systems and pioneering AI technologies. You will make a real difference in our products and players' experiences. /p pbWhat You'll Do /b /p ul liDeploy machine learning models that support game features, player experience, and operational efficiency. /li liImprove the code quality of others' work by refining SQL and Python scripts for data transformation, feature engineering, modelling pipelines, and AI app, thereby ensuring production readiness. /li liExplore and contribute to early-stage projects involving LLMs, RAG systems, and agentic AI to power new types of automation and decision support. /li liDevelop or refine Streamlit-based tools (or alike) that present ML/AI capabilities to non-technical users via intuitive and interactive interfaces. /li liHelp build and implement model monitoring systems to ensure long-term performance and business alignment. /li liCollaborate with teams across product, data,



and engineering to identify where ML and AI can bring value. /li liCommunicate results, limitations, and recommendations clearly across technical and business collaborators. /li /ul pbWhat We're Looking For /b /p ul li5+ years of experience applying machine learning to real-world problems, from data to deployment. /li liStrong Python skills and hands-on experience with ML Python libraries. /li liSolid SQL expertise and experience working with large data warehouses. /li liComfort working with cloud platforms (e.g., GCP, AWS, Azure), Docker, and Airflow. /li liAbility to build simple user interfaces (e.g., Streamlit) to expose ML models or AI applications to wider teams. /li liHands-on experience building applications with Generative AI (LLMs), including API integration. /li liInterest or early experience in RAG systems—whether through prototypes, side projects, or professional work. /li liInterest or familiarity with agentic AI concepts or frameworks (e.g., LangChain agents, CrewAI) is a plus, but not a must. /li liCuriosity, initiative, and a desire to learn and grow in a fast-evolving space. /li liDegree in a relevant technical field or equivalent experience.br/ /li /ul pbTravel Expectations /b /p pMinimal travel required (up to 5%) /p /p #J-18808-Ljbffr

📌 Ml Engineer (Barcelona)
🏢 Product Madness Espana
📍 Barcelona