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.