Senior AI & NLP Engineer - Relocation to Brussels

All European Careers BENELUX; Comunidad de Madrid; Hybrid; EUR 65,000 - 90,000; Full time

Job summary

A European recruitment agency is seeking a Senior AI & NLP Engineer willing to relocate to Brussels. The role involves developing and maintaining software applications in Natural Language Processing, Machine Learning, and Artificial Intelligence. The ideal candidate should have over 9 years of IT experience, strong proficiency in programming languages such as Perl and Python, and familiarity with machine learning techniques. Interested candidates should send their CV to the provided email address.

Qualifications

• Fluent in English and +9 years of IT experience.
• Strong experience with ML techniques and algorithms.
• Good knowledge of quality assurance and quality control for machine translation.

Responsibilities

• Development and maintenance of software applications in NLP, ML, and AI.
• Training custom ML models, optimizing classifiers.
• Designing IT architecture for NLP/ML/AI solutions.

Skills

Perl

Python

Matlab

R

NLP/ML libraries (SpaCy, NLTK, scikit-learn, pandas)

ML techniques (k-NN, Naive Bayes, SVM, Decision Forests, Neural Network)

Data analytics

AWS

Azure

NoSQL databases (MongoDB, Cassandra)

Tools

Big Data technologies

Data visualization tools (D3.js, GGplot)

Linux

Unix

Bash

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 - Relocation to Brussels.

Candidates need to be based in Belgium or willing to relocate to Brussels when coming from abroad.

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;

Profile:

• +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 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;

Interested:

If you are interested in this opportunity, please forward your CV to [e-mail].

Following countries are part of the European Union: Austria, Belgium, Bulgaria, Croatia, Republic of Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain and Sweden.