Senior AI & NLP Engineer - Hybrid
Posted Updated
Summary
Senior contractor role for a European institution in Brussels: developing and maintaining NLP, ML and AI software, training custom ML/deep-learning models, improving machine translation engines, and ensuring data quality plus AI/data-warehouse architecture. Hybrid, 2 days per week on-site.
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;
- 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;
- 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;