This opportunity is based in Zurich

Information extraction from structured and unstructured documents

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Companies handle high volume of unstructured documents such as letters, forms or ID scans on a daily basis. A lot of manual work is invested to manually extract from these documents the information necessary to perform a business process (dates, contract number, addresses etc). This internship will focus on automatically extracting information from those unstructured and structured documents. To do so, the student will design and build machine learning and deep learning pipelines, using state of the art libraries. The final goal is to integrate those pipelines into one of our existing NLP services.

In this role

The goal of this internship is to:

• Build machinelearning and deep learning pipelines to extract information from documents written in English, with a possibility to extend it to other languages (e.g. French and German). The intern will be responsible for pre-processing the documents, selecting features, building and evaluating models.


• Integrate the best models to one of our existing products. The student will have the opportunity to sharpen his software development skills.

What we offer

Join our team as intern and you will find a young, dynamic and culturally diverse working environment.

About your profile

• Interest and strong knowledge in Machine Learning and Natural Language Processing


• Programming language: Python 3+


• Deployment: Knowing Docker is a plus

If you are INTERESTED in applying for this position, please send us your complete application (CV, cover letter, letter of reference, diplomas and certificates).ApplySee alsoTraining ( Apprenticeship/Interns/ Master Thesis)

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About ELCA

With 50+ year of history and over 1300 specialists, we offer a unique spectrum of experience, skills and technical innovations.

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