Expert in ML/AI/NLP
Expert in ML/AI/NLP
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
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.
Qualifications :
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.
Remote Work :
No
Employment Type
Full Time
