Senior AI & NLP Engineer - Hybrid

All European Careers; Brussel Hoofdstad; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

All European Careers BENELUX is seeking a Senior AI & NLP Engineer to join our international team in Brussels. The role requires based in Belgium or willingness to relocate, with 2 days on-site per week and English fluency.

A work permit is required but not provided, and contractors are invited to apply. Responsibilities include developing NLP/ML/AI software, training models, improving MT engines, establishing data quality controls, and designing IT architectures for AI initiatives.

Qualifications

• Based in Belgium or willing to relocate to Brussels; 2 days on-site per week.
• Fluent in English.
• Work permit required but not provided; contractors welcome.

Responsibilities

• Develop and maintain software applications in NLP, ML and AI.
• Train custom ML/deep learning models on structured and unstructured data.
• Select features, build and optimize classifiers using ML techniques.
• Improve machine translation engines for each installed language pair.
• Define data rules and implement actions to ensure data quality and integrity.
• Create automated anomaly detection systems and monitor performance.
• Design IT architecture for NLP/ML/AI and coordinate metadata management.

Skills

NLP

ML/AI

Data analysis

English

Job description

Join our dynamic international team and embrace the adventure of working abroad!

For an European institution in Brussels, Belgium, we are looking for a Senior AI & NLP Engineer.

Candidates need to be based in Belgium or willing to relocate to Brussels when coming from abroad. 2 days per week on-site!

Candidates need to be fluent in English. A work permit is required, but not provided. This position is open for contractors.

Tasks and Responsibilities:

• 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 ML techniques;
• Develops aiming at improving the quality of machine translation (MT) engines for each installed language pair;
• 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;
• 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;
• Provision of expert advice and assistance in any area associated with the AI and Data Warehouse technologies;
• Perform design, development and maintenance of BI and reporting software that both follow the reference architecture rules and accurately implement the specifications;
• Assistance and support to the Advanced Analytics developers;
• Provision of technical studies, technical expertise, technical evaluations in relation with AI systems;