Senior AI
Il y a 3 heures
Arrondissement of BrusselsCapital, Brussels, Belgique
All European Careers BENELUX
Temps plein
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pJoin our dynamic international team and embrace the adventure of working abroad /p pFor an European institution in Brussels, Belgium, we are looking for a Senior AI NLP Engineer. /p pCandidates need to be based in Belgium or willing to relocate to Brussels when coming from abroad. 2 days per week on-site /p pCandidates need to be fluent in English. A work permit is required, but not provided. This position is open for contractors. /p h3Tasks and
Responsibilities:
/h3 ul liDevelopment and maintenance of software applications in the field of Natural Language Processing (NLP), Machine Learning (ML) and/or Artificial Intelligence (AI); /li liTraining of custom machine learning / deep learning models based on structured and unstructured data; /li liSelecting features, building and optimizing classifiers using ML techniques; /li liDevelops aiming at improving the quality of machine translation (MT) engines for each installed language pair; /li liInteract with data stewards and other IT stakeholders to define the data rules; /li liDefine data controls and implement actions to ensure data quality and integrity; /li liCreating automated anomaly detection systems and constant tracking of its performance; /li liProcessing, cleansing, and verifying the integrity of data used for analysis; /li liDesign the IT architecture for solitons in the NLP / ML / AI fields, and coordinate its implementation considering master
- and meta-data management concepts; /li liAnalyse data architecture for consistency, completeness, accuracy and reasonableness; /li liContributing for the analysis of data management vision, strategy and policy and derive the IT requirements; /li liProvision of expert advice and assistance in any area associated with the AI and Data Warehouse technologies; /li liPerform design, development and maintenance of BI and reporting software that both follow the reference architecture rules and accurately implement the specifications; /li liAssistance and support to the Advanced Analytics developers; /li liProvision of technical studies, technical expertise, technical evaluations in relation with AI systems; /li /ul
Responsibilities:
/h3 ul liDevelopment and maintenance of software applications in the field of Natural Language Processing (NLP), Machine Learning (ML) and/or Artificial Intelligence (AI); /li liTraining of custom machine learning / deep learning models based on structured and unstructured data; /li liSelecting features, building and optimizing classifiers using ML techniques; /li liDevelops aiming at improving the quality of machine translation (MT) engines for each installed language pair; /li liInteract with data stewards and other IT stakeholders to define the data rules; /li liDefine data controls and implement actions to ensure data quality and integrity; /li liCreating automated anomaly detection systems and constant tracking of its performance; /li liProcessing, cleansing, and verifying the integrity of data used for analysis; /li liDesign the IT architecture for solitons in the NLP / ML / AI fields, and coordinate its implementation considering master
- and meta-data management concepts; /li liAnalyse data architecture for consistency, completeness, accuracy and reasonableness; /li liContributing for the analysis of data management vision, strategy and policy and derive the IT requirements; /li liProvision of expert advice and assistance in any area associated with the AI and Data Warehouse technologies; /li liPerform design, development and maintenance of BI and reporting software that both follow the reference architecture rules and accurately implement the specifications; /li liAssistance and support to the Advanced Analytics developers; /li liProvision of technical studies, technical expertise, technical evaluations in relation with AI systems; /li /ul