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工作类型: Full-time
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工作内容
Job DescriptionWORKING 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.
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.
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最后期限: 17-12-2025
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