Senior Machine Learning Engineer - AI/NLP (Information Technology/Software)

About the position

Our client, a leading Software, Information and Communication Technologies company, operates internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). Our client is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. Role Overview Our client currently has 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. Job type: Full time/Permanent Location: Brussels, Belgium. Workplace: Onsite Please note that we can consider only EU candidates for this position due to security clearance. Requirements 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. Responsibilities 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.

Place of work