Senior Machine Learning Engineer (AI/NLP) job opportunity at EUROPEAN DYNAMICS.

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Date2026-02-02T11:35:15.288Z bot
EUROPEAN DYNAMICS Senior Machine Learning Engineer (AI/NLP)
Experience: 17-years
Pattern: Full-time
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loacation Brussels, Belgium
loacation Brussels....Belgium

We currently have a vacancy for a Senior Machine Learning Engineer (AI/NLP) fluent in English, to offer his/her services as an expert who will be based in Belgium. The work will be carried out either in the company’s premises or on-site at customer premises. In the context of the first assignment, the successful candidate will be integrated with the Development team of the company that will closely cooperate with a major client’s IT team on site. Your tasks Design, implement and optimise advanced AI, NLP, and ML models. Use LLMs, RAG frameworks, and other state-of-the-art approaches; Create methods for tokenisation, part-of-speech tagging, named entity recognition, classification, clustering and other text mining-related tasks; Conduct thorough research and stay updated on the latest trends and advancements in NLP, ML, and AI technologies; Develop and maintain robust, scalable, and efficient code using Python; Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services; Perform rigorous analysis and experimentation to improve model accuracy, efficiency, and scalability; Develop comprehensive reports and visualisations to communicate insights and findings to stakeholders. University degree in IT combined with relevant IT professional experience of 17 years; Experience in Machine Learning and Natural Language Processing; Excellent knowledge of Python and libraries (e.g. Pandas, SpaCy, NLTK, Hugging Face); Experience with deep learning frameworks for complex model architecture such as TensorFlow or PyTorch; Experience with pre-trained models and LLMs like GPT, and other Transformer-based architectures; Experience with tools like Matplotlib and Seaborn for creating data visualizations; Experience with AI-powered code assistants (e.g., Amazon Q, Github Copilot), staying updated with advancements in AI-driven code technologies; Good knowledge of SQL tooling (Oracle, PostgreSQL); Knowledge of NoSQL databases (Elasticsearch, MongoDB); Knowledge of architectural design of scalable ML solutions such as model servers, GPU resource optimisation; Experience with A/B testing and experimental design of ML models; Strong understanding of linguistics and text processing techniques; Proficient in continuous code delivery and unit testing; Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), topic detection, plagiarism detection, trends/anomalies detection in datasets, recommendation systems; Familiarity with leveraging graph science techniques to solve complex data problems within social networks, knowledge graphs; Excellent command of the English language.

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