An exciting aspect of joining a newly created business at this stage is the opportunity to be in from the start and help define the culture.Part of this role will be to help build the culture and environment in Madrid as we expand our footprint.There arethings that wewon’tcompromise on though:We are looking for exceptional talentwith excellent communication skillsCollaborationis key,both internally and with our clients. Webelieve we do our best work when we are together and working hand in hand with business usersCuriosityis something we embrace andvalue highlyWe want people who are positive and passionate,have proven problem solving capabilities, canwork quickly to find solutions to complex challenges and unlockbigopportunitiesPeople need to be able to take ownership and be trusted to deliver,



going the extra mile when needed- wedon’tbelieve that the value of AI comes from models aloneWe want people who are highly motivatedandhave a highdesire to learnR esponsibilitiesOwnership of technical products and projectswith AI at their core– ourengineersactively engage with a wide range of business functions toleveragetheirdeep machine learningknowledge and exposureDesign and delivery of systems and machine learning models that solve commercially impactfulreal worldproblemsFraming business problems and commercial opportunities into AI problems -judgement and acumen to understand the true business need beyond the stated requirementsChallenging current systems and processes to achieve common goals through technical excellence and innovationKeeping abreast ofprogress in AIand technology trends that will keep us at the forefront of what is possibleHaving impact from day one – we empower and trust ourAIengineerstoleveragetheir skillsetsWhat makes a great candidateDeep understanding of theoretical machine learning fundamentals as well as practical knowledge of how to build real world ML systemsDirect experience leveraging LLMs in production, and an in depth understanding of prom

📌 Madrid - AI Engineer
🏢 Neptune North
📍 Madrid