05 ago
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JobFluent
|
Barcelona
05 ago
JobFluent
Barcelona
ppbAristocrat is looking for a Machine learning Engineer /b /p pSalary: Up to 73k gross/year /p pHybrid in Barcelona (2 days office / 3 days home) /p pPerks: /p ul liGympass gold plan /li li25 vacation days + 1 day on your birthday /li liFlexible payment - daycare, transport, etc. /li liPension plan 1% base salary /li liFood at the office twice a week /li /ul pAristocrat is a global entertainment and content creation company powered by technology to deliver world-leading casino and mobile games. They offer a diverse range of products and services including electronic gaming machines, casino management systems, free-to-play mobile games and online real money games. One of their subsidiaries is Product Madness, a leading global mobile game studio, known for creating popular, free-to-play social casino games like bHeart of Vegas /b, bCashman Casino /b, and bLightning Link Casino /b, bringing casino-style fun to mobile devices with a focus on player entertainment and innovation. /p pProduct Madness is a leading integral mobile game studio, known for creating popular, free-to-play social casino games like bHeart of Vegas /b, bCashman Casino /b, and bLightning Link Casino /b, bringing casino-style fun to mobile devices with a focus on player entertainment and innovation. It is a subsidiary of Aristocrat. /p h3About the Role /h3 pWe 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 h3What You'll Do /h3 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 h3What We're Looking For /h3 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. /li liHealth insurance - CIGNA /li liGympass gold plan /li li25 vacation days + 1 day on your birthday /li liFood at the office twice a week /li /ul h3So, what’s stopping you? /h3 h3Their Values /h3 ul liPeople First /li /ul pThey have the deepest respect for their people and their well being. They know they are exceptionally talented and will always have a choice. They want them to re-choose us every day. They are committed to building a culture where each person's voice will always be heard and addressed. /p ul liMAD for More /li /ul pAlways improving, innovating and never settling for the existing. They push all boundaries with courage and ambition to become the world’s best games company. /p ul liChampion Together /li /ul pThey excel at what they do but yet remain humble and helpful to their teammates. They champion one another and hold each other to high standards without any egos. /p ul liGlobally Inclusive /li /ul pThey are all Equal - regardless of the language we speak, where employees live, their gender, religion or culture they come from. They want to build a global home, where everyone has the equal opportunity to make an impact. /p ul liCustomer Focused /li /ul pThey always think from the customer's perspective—be it players or internal customers. Improving their experience and joy is what drives them. Every client's success is their big win! /p /p #J-18808-Ljbffr
📌 Machine Learning Engineer (Barcelona)
🏢 JobFluent
📍 Barcelona