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;
* Analyse risk-level of existing LLMs implemented in IT systems;
* Industrialise PoCs once they have proven to bring value-added, 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 opportunities to leverage the use of them;
* Contribute to the analysis of data management vision, strategy and policy and derive the IT requirements.
Requirements
* 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;
* Knowledge of R and its NLP/ML libraries is a plus (e.g.: SpaCy, NLTK, scikit-learn, pandas…);
* Excellent command of the English language and good command of French would be an asset.