Expert in AI/NLP/ML

Description

We currently have a vacancy for an Expert in AI/NLP/ML fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site

Your tasks

• Integration and maintenance of software applications or services in the field of Artificial Intelligence (AI) in different technologies such as: Natural Language Processing (NLP); Machine Learning (ML); Information Extraction; Knowledge Graphs (KG) or Graph Data Science (GDS);
• Market studies and technical evaluation of advanced commercial or open-source products or services in the above fields;
• Prompt engineering on Large Language Models and validation of results with the business/policy officers;
• Implementation of Retrieval Augmented Generation (RAG) techniques;
• Interact with policy officers, data stewards and other stakeholders to understand business and data needs, turn them into use cases, prototypes or statements of work and eventually support the solution acceptance process;
• Design the IT architecture and hosting solutions and coordinate its implementation considering cloud technologies, containers, DevOps, master- and meta-data management concepts and security.

Requirements

• Master's degree in IT or relevant discipline combined with a minimum 17 years of relevant working experience in IT;
• Minimum 8 years’ of specific expertise in Perl, Python, Matlab, R and their NLP/ML
• libraries (SpaCy, NLTK, scikit-learn, pandas…);
• Minimum 8 years’ of specific expertise in machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks, Large Language Model prompt engineering as well as Retrieval Augmented Generation techniques.;
• Minimum 7 years’ of specific expertise in query languages, such as SQL, Hive, Pig, etc and with information extraction;
• Minimum 5 years’ of specific expertise in data management and analytics, including data quality as well as excellent knowledge of advanced data retrieval tools;
• Minimum 5 years’ of specific expertise in AWS, Azure or other cloud platforms;
• Minimum 5 years’ of specific expertise in machine learning systems lifecycle;
• Minimum 5 years’ of specific expertise in software development methodologies such as Agile or RUP;
• Minimum 5 years’ of specific expertise in NoSQL databases, such as MongoDB, Cassandra, HBase, Neo4j, etc.;
• Minimum 5 years’ of specific expertise in data analytics over big datasets, non-structured databases as well as data lakes, including data visualisation tools for connected data (e.g. D3.js, knowledge graphs, etc.);
• Minimum 5 years’ of specific expertise in applied statistics, such as distributions, statistical testing, regression, etc;
• The following certificates would be considered as an asset: AWS Certified Machine Learning or Microsoft Azure AI Engineer Associate SAS Certified Professional AI and Machine Learning Certification;
• Excellent command of the English language.