Candidate Profile:

• A minimum of 3 years in the relevant field is a prerequisite for this role.
• Demonstrated understanding of machine learning concepts, encompassing supervised and unsupervised learning, classification, regression, and neural networks.
• Proven expertise in Natural Language Processing (NLP) techniques, covering text representation, tokenization, stemming, lemmatization, part-of-speech tagging, parsing, and semantic analysis.
• In-depth knowledge of transformer architectures, including but not limited to BERT, GPT-3, and their applications in NLP tasks.
• Strong proficiency in Python is essential for success in this role.
• Familiarity with Large Language Models (LLMs) is an asset.

This position involves working on a foreign project, providing an exciting opportunity to contribute to projects with an international scope.