AI/NLP/ML Expert

European Dynamics

Brussels, Belgium

Description

We currently have a vacancy for an AI/NLP/ML Expert 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

Design the IT architecture for solutions in the NLP/ML/AI fields, and implement PoCs such as in the ChatBot / RAG field;
Analyse data assets, business processes and risk-level of existing LLMs;
Industrialise PoCs in close collaboration with other engineers;
Train custom machine learning (e.g. RAG based) based on structured and unstructured data;
Interact with the local data correspondent, the digital transformation officer, and other IT stakeholders;
Process, cleanse, and verify the integrity of data used for analysis;
Follow the progress of implementation of corporate AI initiatives and identify potential opportunities;
Contribute to the analysis of data management vision, strategy and policy and derive the IT requirements.

Requirements

Master’s degree in IT or relevant discipline, combined with minimum 17 years of relevant working experience in IT;
Experience with data analytics over big datasets, non-structured databases as well as data lakes;
Excellent knowledge of Python;
Excellent knowledge of machine learning techniques and algorithms, such as SVM, Neural Network, and/or artificial intelligence frameworks;
Excellent knowledge of Data Management;
Good knowledge of AWS and/or Azure;
Good knowledge of Linux;
Good knowledge of natural language processing systems lifecycle and agile software development methodologies;
Good knowledge of NoSQL databases, such as MongoDB;
Good knowledge of graph DB and triples;
Good knowledge of query languages, such as SQL, Hive, Pig, etc.;
Knowledge of data visualisation tools, such as D3.js, GGplot, etc.;
Any experience in the field of RAG processing will be considered an asset;
Knowledge of R and its NLP/ML libraries would be considered an asset(e.g.: SpaCy, NLTK, scikit-learn, pandas…);
Excellent command of the English language is mandatory, while knowledge of French C1 would be an advantage.