We are looking for an Expert in AI/NLP/ML for an EU Institution in Brussels (50% onsite).

DESCRIPTION OF THE TASKS

• Development, maintenance, and optimization of software solutions in the fields of NLP, Machine Learning, and Artificial Intelligence;

• Design, training, and optimization of machine learning and deep learning models using structured and unstructured data;

• Feature selection, classifier building, and performance optimization using state-of-the-art ML techniques;

• Improvement, evaluation, and long-term monitoring of machine translation (MT) quality across multiple language pairs;

• Data mining, data analysis, and implementation of automated anomaly detection and performance monitoring systems;

• Data processing, cleansing, validation, and integrity checks to ensure high-quality data;

• Definition and implementation of data rules, controls, and quality standards in collaboration with data stewards and IT stakeholders;

• Design and analysis of IT and data architectures, including master- and metadata management concepts;

• Contribution to data management strategies, policies, and related IT requirements;

• Provision of expert technical advice, studies, and evaluations related to AI, advanced analytics, and data warehouse technologies;

• Development and maintenance of BI and reporting solutions aligned with reference architectures and business requirements;

• Support to advanced analytics teams and assistance in resolving production and operational issues when required.

REQUIREMENTS

• Strong expertise in NLP, Machine Learning and Artificial Intelligence, including development and training of models using structured and unstructured data;

• Proficiency in programming and scripting languages such as Python, Perl, R, Matlab, SQL and Bash, with hands-on experience in NLP/ML libraries and frameworks;

• Solid knowledge of machine learning algorithms, applied statistics, data mining techniques and AI frameworks;

• Experience with data management, data quality, data governance, and working with large-scale datasets, data lakes and non-structured databases;

• Knowledge of cloud platforms (AWS and/or Azure), Linux/Unix environments, and Big Data technologies;

• Experience with databases and query languages (Oracle, PL/SQL, SQL, NoSQL);

• Knowledge of machine translation quality evaluation, NLP system lifecycles, and agile software development methodologies;

• Familiarity with data visualization tools and BI/reporting solutions;

• Strong analytical, data-driven and problem-solving mindset with attention to quality and performance;

• Excellent communication skills, ability to work autonomously and in teams, and capacity to produce clear technical documentation;

• Fluent in English

CERTIFICATIONS & STANDARDS (Optional):

• AWS Certified Machine Learning

• Microsoft Azure AI Engineer Associate

• SAS Certified Professional AI and Machine Learning Certification

EU citizenship is required for security clearance.