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VASS BENELUX hiring Expert

VASS BENELUX

Bruselas, Región de Bruselas, Bélgica 2026-02-07

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VASS BeNeLux, in partnership with the European Commission, is currently seeking an Expert in AI/NLP/ML (AI/NLP/ML) , near-site in Brussels. The role: • Development and maintenance of software applications in the field of Natural Language Processing (NLP), Machine Learning (ML) and/or Artificial Intelligence (AI); • Training of custom machine learning / deep learning models based on structured and unstructured data; • Selecting features, building and optimizing classifiers using machine learning…

Job description

VASS BeNeLux, in partnership with the European Commission, is currently seeking an Expert in AI/NLP/ML (AI/NLP/ML) , near-site in Brussels. The role: • Development and maintenance of software applications in the field of Natural Language Processing (NLP), Machine Learning (ML) and/or Artificial Intelligence (AI); • Training of custom machine learning / deep learning models based on structured and unstructured data; • Selecting features, building and optimizing classifiers using machine learning techniques; • Studies and developments aiming at improving the quality of machine translation (MT) engines for each installed language pair, addressing the specific needs of customers of the service concerning MT quality and contributing to a general strategy for the systematic evaluation and long-term improvement of MT quality; • Interact with data stewards and other IT stakeholders to define the data rules; • Define data controls and implement actions to ensure data quality and integrity; • Creating automated anomaly detection systems and constant tracking of its performance; • Data mining using state-of-the-art methods; • Processing, cleansing, and verifying the integrity of data used for analysis; • Design the IT architecture for solitons in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts; • Analyse data architecture for consistency, completeness, accuracy and reasonableness; • Contributing for the analysis of data management vision, strategy and policy and derive the IT requirements; • Contributing to the design of the IT architecture considering master- and meta-data management concepts.

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