Expert in AI-NLP-ML, act digital EMEA - Alter Solutions

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Solliciteren

Plaats

Bruxelles
1000
Brussel
België

Contract

Vooltijds, Onbepaalde duur

Datum gepubliceerd

2026-02-06

Online to:

2026-04-07
EUR 20.00 HOUR

Expert in AI-NLP-ML

We are looking for an Expert in AI/NLP/ML who will join an EU Institution in Brussels (50% onsite). 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. • Fine-tune pre-trained models on domain-specific 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. • Participate in peer reviews and contribute to the continuous improvement of AI solutions. • Contribute to the design and implementation of ML application architecture and its solution stack. • Develop comprehensive reports and visualisations to communicate insights and findings to stakeholders. Requirements • 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 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. • 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. • Strong understanding of linguistics and text processing techniques. • Proficient in continuous code delivery and unit testing. • Understanding of bias in ML applications and bias mitigation techniques. • Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), topic detection, plagiarism detection, trends/anomalies detection in datasets, recommendation systems. • Proficiency in understanding and applying statistical concepts and models. • Ability to formulate problems and develop solutions using data-driven approaches. • Effectively communicating complex data insights to non-technical stakeholders. • Results-oriented mindset, focused on delivering. • Good communication skills in English, both orally and in written form. • Ability to write clear and well-structured documentation. EU citizenship is required for security clearance.

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