AI & NLP Engineer

Senior AI & NLP Engineer - Brussels, Belgium For an European institution in Brussels, Belgium, we are looking for a Senior AI & NLP Engineer. Candidates need to be fluent in English. A work permit is required, but not provided. This position is open for contractors. 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; Qualifications Bachelor or Master degree; +9 years of IT experience; Excellent experience of Perl, Python, Matlab, R and its NLP/ML libraries (SpaCy, NLTK, scikit-learn, pandas…); Strong experience with ML techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and AI frameworks; Experience in the field of corpus based linguistics and alignment models and classification methods; Experience with data analytics over big datasets, non-structured databases as well as data lakes; Previous experience with Data Management, Database Mining systems and in Big Data technologies; Experience with AWS and/or Azure, Oracle RDBMS and PL-SQL; Previous exposure with Linux, Unix, Bash and scripting languages; Good knowledge of natural language processing systems lifecycle and agile software development methodologies; Good knowledge of quality assurance and quality control for machine translation (MT) and experience xcgbitx with MT quality procedures, testing methodologies and tools, such as automatic quality metrics (BLEU scores and similar) and human evaluation of MT quality; Some experience with query languages, such as SQL, Hive, Pig, etc; Knowledge of NoSQL databases, such as MongoDB, Cassandra, HBase, etc; Knowledge of data visualisation tools, such as D3.js, GGplot, etc; Certification in AWS Certified Machine Learning or Microsoft Azure AI Engineer Associate or SAS Certified Professional AI and Machine Learning Certification is an Advantage; Fluent in English