AI Engineer
Il y a 3 heures
Arrondissement of BrusselsCapital, Brussels, Belgique
Möbius Business Redesign
Temps plein
Gratuit avec email ou Google
Enregistrez cette offre et organisez votre recherche
Créez un compte gratuit pour enregistrer des offres d'emploi, créer des alertes et revenir à cette liste depuis votre tableau de bord.
Gratuit avec email ou Google
En continuant, vous acceptez nos Conditions d’utilisation & Politique de confidentialité.
ppAt Möbius, we turn complex business problems into smart AI solutions — and we need an engineer who can build them from the ground up. You'll design and develop AI applications, from LLMs and GenAI to classical machine learning, and bring them all the way into production. If you're technical, curious, and never lose sight of the business behind the code, we would love to hear from you /ph3About /h3pbNote: /bbThis vacancy is meant for candidates who are fluent in Dutch, besides having the right technical background. /b /ppMöbius is a bconsulting firm /b that helps organizations across various sectors design and implement the best solutions. Our 140+ colleagues are active in Belgium and the Netherlands, and have been guiding a diverse range of organizations for more than 28 years. /ppWith a bstrong focus on the latest technological developments /b, we support companies in their btransformation /b into bdata-driven and AI-based organisations /b — from generative AI solutions that automate repetitive tasks, to classical machine learning models that uncover complex patterns. /ppTo realize these transformative solutions and further expand our impact, we are looking for ba motivated AI Engineer. /bThis role is primarily technical, but you never lose sight of the business. /ph3Your role /h3pYou start from a bbusiness problem /b: think of a stack of documents being processed manually, a customer service team drowning in emails, or a process that takes up too much time… and btranslate /bthis into the bmost suitable architecture /b. You then bdevelop the AI solution /b: sometimes this is a bcustom solution /b, sometimes ab scalable platform /b that works across multiple clients or use cases. You make that choice consciously and reasoned. /ppIn practice, this means: /ppbWorking together /b with clients and internal teams to properly bunderstand their needs /b and bprocesses /b, and to (help) btranslate /bthese into bconcrete AI and ML solutions. /b /ppbDesigning and developing AI applications /b, with a strong focus on bLarge Language Models /b (LLMs) and bGenerative AI /b. You apply techniques such as bprompt engineering /b and bRAG /bto build reliable, pragmatic and high-performing solutions that meet specific client needs and use cases. /ppDeveloping solutions using bPython /b and brelevant AI/ML frameworks /b (e.g. Scikit-learn, TensorFlow and PyTorch), and integrating AI functionality into broader applications and processes, including via APIs. /ppbDesigning technical architectures for AI/ML solutions /b, making deliberate choices around modular components, integrations, scalability, reliability, security, manageability and cost efficiency. You consider not only what works technically, but also what is bappropriate /band bsustainable /bfor the specific use case. /ppbBuilding robust and scalable AI/ML pipelines /bbased on that architecture and subsequently bbringing them into production /b: from proof of concept to reliable deployment in cloud environments such as Azure — in short, bMLOps /b from A to Z. /ppbCombining GenAI with classical Machine Learning techniques where relevant /b (e.g. classification, regression, clustering or time series analysis). You choose the technique that best fits the problem, rather than treating AI or LLMs as a goal in themselves. /ppHolds a bmaster's degree /b in Computer Science, Artificial Intelligence, Data Science, Engineering or a related field. /ppCan demonstrate a few years of brelevant work experience /b. /ppHas bpractical experience with LLMs and GenAI tools and techniques. /b /ppHas bextensive deployment experience /bwithb cloud platforms /b such as Microsoft Azure, reliably bbringing AI models into production /b and bmaintaining /bthem. /ppIs proficient in bPython /band has experience bbuilding and maintaining APIs. /b /ppHas a strong sense of bbusiness context /band naturally brings it into technical decision-making. /ppCommunicates clearly in bDutch /band bEnglish /b, for both technical and non-technical audiences. Knowledge of French is an asset. /ppIs bproactive /b, bcurious /band a team player who enjoys bworking with various stakeholders /b. /ph3We offer you /h3pAn attractive salary package including additional benefits (such as an electric company car, laptop, insurance, sports and welfare initiatives, etc.) /ppThe opportunity to work independently on leading projects, showcasing and developing your talents /ppExtensive training opportunities to become an expert in your field and always stay up-to-date with the latest AI trends /ppAn entrepreneurial and innovative company culture where customer focus, knowledge sharing and collegiality are key /ppWorking within a modern holacracy framework that encourages self-organization and agility /ppA culture of continuous feedback focused on personal and professional growth /ppFlexible
working hours
, inspiring offices and the opportunity to work from your own home office /ppInspiring and challenging events thro
working hours
, inspiring offices and the opportunity to work from your own home office /ppInspiring and challenging events thro