Summary
Isabelle Mohr is a Machine Learning Engineer and PhD researcher specializing in training and deploying embedding models for information retrieval and retrieval-augmented generation, with six years of industry and academic experience. She currently contributes at Jina AI as a Senior AI Engineer while pursuing doctoral research at Idiap Research Institute, bridging cutting-edge R&D with production-grade retrieval systems. Her background in computational linguistics and applied linguistics gives her a strong grounding in language-centered model design and evaluation. Isabelle has practical cloud and engineering experience from roles implementing ML on GCP and AWS, building IoT-edge applications, and managing end-to-end model experiments. She combines hands-on Python and spaCy work with deployment-focused expertise in embeddings and RAG, making her equally comfortable in prototyping and scalable deployment. Based in Martigny, Switzerland, she brings a researcher’s rigor to product-driven ML problems, often translating linguistic insights into measurable retrieval improvements.
6 years of coding experience
1 year of employment as a software developer
Kingswood College
Master of Science - MS Computational Linguistics, Master of Science - MS Computational Linguistics at University of Stuttgart
Bachelor of Arts with Honours Applied Linguistics, Bachelor of Arts with Honours Applied Linguistics at Rhodes University
German, English, Afrikaans, Chinese