Job description

LuxService is seeking 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 on the company’s premises or on site at the 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.

Key responsibilities

• 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;
• Analyse risk-level of existing LLMs implemented in few of IT systems;
• Industrialise PoCs once they have proven to bring value-added, in close collaboration with other engineers members of the team;
• Train custom machine learning (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.

Required skills and competence

• University degree in IT combined with relevant IT professional experience of 15 years;
• Excellent experience with Python as well as of NLP/ML and common Python libraries (PyTorch, SpaCy, NLTK, Scikit-learn, Pandas, Pydantic);
• Extensive knowledge of machine learning techniques and algorithms;
• Extensive knowledge of neural networks and deep learning, with a focus on text processing models;
• Very good knowledge of package management (Poetry, pip, Conda);
• Very good knowledge of OOP and functional programming;
• Very good knowledge of Git;
• Very good knowledge of prompt engineering techniques and of models MLOps techniques (model testing/deployment/monitoring/versioning, experiment tracking);
• Very good knowledge of Data Management;
• Good knowledge of statistical analysis, experimental design and large scale data processing;
• Good knowledge of LLMs, Transformer architecture, RAG systems;
• Good knowledge of Azure and/or AWS, as well as Docker, Kubernetes and IaC (knowledge of Bicep and/or Terraform will be considered a plus);
• Good knowledge of Linux;
• Good knowledge of NoSQL databases (MongoDB, ElasticSearch), vector DB and query languages (SQL, ES, QL);
• Good knowledge of agile software development methodologies;
• Experience in the field of RAG processing will be considered an asset;
• Excellent command of the English language.