Company: Cronos EuropaLocation: Brussels, Belgium (must live within 2 hours of Brussels by car)Job Type: Long-term ProjectNationality Requirement: European Union Citizenship RequiredFor one of our clients at the European Commission, we are currently looking for a Senior AI/ML Engineer.Main responsibilitiesAI solution analysis, design and implementation in close coordination with team management and AI technical lead; Propose adequate machine learning models and employ NLP techniques to extract valuable insights from large datasets; Deliver AI and ML training to technical and non-technical (business) users ; Communicate project results in a clear, modern and easy to understand manner geared towards business (non-IT) users; Data modelling in the context of data science and AI;Creation of industrial solutions to exploit data science and AI solutions; Support the development of generative AI solutions in knowledge management; Engage with colleagues from various teams, analyze business requirements and translate them into AI solutions; Follow AI developments within the European Commission. Attend meetings on AI and prepare briefings for the management upon request. RequirementsExperience in developing AI solutions, including machine learning and NLP; Proven experience with Deep Learning models and NLP techniques; Excellent knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks; Experience with cloud services (AWS, Azure, Google Cloud) is an advantage; Ability to adapt to evolving technologies and methodologies in AI; Experience in cleaning and preparing data for AI and Machine Learning (statistical) models; Experience with cloud services (AWS, Azure, GCP) and containerization tools (e.g. Docker) for the deployment of AI and machine learning applications. Experience with Knowledge Graphs and SPARQL is an asset; Experience with version control systems (Git Hub/GitLab) and ETL tools (e.g. Data Services, Talend etc.); Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation; Solution-oriented and accuracy to detail; Ability to cope with fast changing technologies used in application developments; Knowledge of European Commission IT environment is an asset.