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Eurofins

Global lab testing and analytics network

Ingénieur.e Projets Intelligence Artificielle Intern - Traitement du langage naturel, NLP

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Internship · Winter 2027Île-de-France, FranceNo salary listed

About the Job

Requirements

  • Be in the final year of engineering school or an equivalent university program.
  • Have a specialization or strong interest in artificial intelligence or machine learning, natural language processing, generative artificial intelligence and language models, data science, and/or software development.
  • Ideally, be proficient in Azure, Python, and PyTorch.

Responsibilities

  • Analyze laboratories’ processes and business needs to identify use cases where language processing can add value.
  • Identify and prepare relevant textual data sources, including customer requests, comments associated with analyses and samples, reports, procedures, and technical documentation.
  • Explore natural language processing and generative artificial intelligence approaches to automatically extract, classify, summarize, or search for information.
  • Develop a prototype or proof of concept for one or more selected use cases.
  • Test the relevance and reliability of results using data representative of laboratory activities.
  • Address data quality, confidentiality, traceability, and information security.
  • Collect user feedback and progressively improve the solution.
  • Document results and propose a roadmap for deployment across the laboratories.

About the Company

Eurofins

Global lab testing and analytics network

Eurofins provides global laboratory testing and analytical services to verify the safety, authenticity, and quality of products across food, water, medicine, and the environment. It operates a network of more than 900 laboratories in over 60 countries, offering access to more than 200,000 analytical methods. Its product work involves running specialized tests—using chemistry, biology, and other scientific techniques—to confirm origin, composition, and compliance of samples, such as detecting wine fraud or contaminant presence. The company differentiates itself through its massive, distributed lab network and broad portfolio, enabling standardized testing at scale and fast turnaround across many industries, rather than relying on a single specialty or location. Its goal is to protect public health and safety by delivering accurate, comprehensive testing data and helping clients meet regulatory and quality requirements.

Company size
10,001+
Company stage
IPO
Headquarters
Luxembourg
Founded
1987

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