Expert in ML/AI/NLP

WORKING METHODS, ENVIRONMENT AND CONDITIONS

Project duration:    600 days
Initial contract duration:    180 days
Expected start date:    ASAP
Service delivery mode:    Near-Site in Brussels

SPECIFIC EXPERTISE

•    Excellent knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks.
•    Knowledge of Large Language Models (LLM).
•    Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, social media crawling and processing, plagiarism detection, trends/anomalies detection in datasets, recommendation systems
•    Knowledge of Graph Databases.

KNOWLEDGE AND SKILLS
Following skills and knowledge are required for the performance of the above listed tasks:
•    Good knowledge of natural language processing systems lifecycle and agile software development methodologies.
•    Experience in the field of corpus-based linguistics.
•    Experience with alignment models and classification methods.
•    Experience with data analytics over big datasets, non-structured databases as well as data lakes.
•    Good knowledge of information systems matters.
•    Good knowledge of large organisation administrative business processes.
•    Good knowledge of analysis/modelling tools and techniques (use case diagram, state diagram, entity relationship model, interaction diagrams etc.).
•    Good knowledge of BPMN or UML or other with equivalent value.
•    Good knowledge of Wiki and collaborative sites.
•    Knowledge of software development methodologies (e.g., RUP, Agile).
•    Excellent knowledge of Data Analytics techniques and tools.
•    Experience in Machine Learning and Natural Language Processing.
•    Experience with languages like R, Python, PERL.
•    Good knowledge of business intelligence tools (Tableau, Qlik, SAS, SAP, GoodData…)
•    Expertise in the ETL processes and tools (SAS, Talend Open Studio…)
•    Good knowledge of SQL tooling (NoSQL, MongoDB, Hadoop, SQL)
•    Knowledge of architectural design and implementation of scalable modern data stores.
•    Rapid self-starting capability.
•    Excellent interpersonal and communication skills.
•    Strong capacity in preparing and writing business analysis.
•    Capability to speak to business and technical audiences.
•    Strong capacity to give high-level presentations.
•    Excellent critical thinker, by using logic and reasoning to identify strengths and weaknesses of alternative solutions.
•    Ability to apply high quality standards.
•    Ability to participate in multi-lingual meetings, excellent communicator.

A minimum educational qualification: Level of education corresponding to Level 6 of the European Qualification Framework which typically corresponds to a bachelor degree of 3 years.