4 beste Stellen als python in canton de vaud – aktuell auf Personalsuche

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- Englisch
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Medtronic —Lausanne, VD
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R&D AI Intern - Scientific Knowledge Integration

Nestlé -
Lausanne, VD

Jetzt bewerben

Details zur Stelle

Praktikum
vor 14 Stunden

Leistungen

Mitarbeiterrabatt
Unterkunft

Qualifikationen

Englisch
Python

Vollständige Stellenbeschreibung

Location: Vers-Chez-Les-Blanc, Lausanne, Switzerland
Work model: On site
Contract type / duration: Internship – 6 months, 100%

Start date: As soon as possible

Be a force for good and transform your potential into something extraordinary.

As a R&D AI Intern – Scientific Knowledge Integration, you will contribute to the development of next-generation AI tools supporting scientific research and product development at Nestlé Research. The objective of this project is to build on existing AI capabilities to implement functional AI agents capable of extracting specific data and knowledge from internal knowledge sources such as documents, datasets, and domain-specific knowledge, and to support a specific scientific workflow in the domain of product development.

This is a hands-on, product-oriented project where you will build practical AI capabilities that can evolve into internal tools used by scientists and product developers. This is your opportunity to make an impact while gaining hands-on experience and mentorship to kick-start your career.

How you’ll make an impact as a R&D AI Intern in Scientific Knowledge Integration

Extracting specific structured information from unstructured text, such as ingredient composition, dosage ranges, and constraints, using AI-powered approaches
Exploring ways to normalize and map data across heterogeneous sources to support AI-enabled scientific workflows
Leveraging existing tools and pipelines for knowledge and data retrieval to strengthen AI-driven solutions
Structuring and connecting scientific data so it can power digital tools that support product development decisions
Validating AI outputs to ensure the information is accurate, relevant, and useful for real-world scientific decisions

What will make you successful

Current Bachelor/Master’s Student or fresh graduate in Computer Science, Data Science, Artificial Intelligence, Computational Science, or related fields
Python coding skills and the ability to build clean, well-structured, and well-documented solutions
Having a foundation in machine learning, natural language processing, large language models, and AI engineering concepts
Being a critical thinker who enjoys solving problems, validating results, and collaborating in an agile environment with curiosity and initiative
Fluency in English.
Demonstrating courage, collaboration, speed and continuous learning.

At Nestlé Research, we place people at the heart of everything we do.

Our benefits are designed to support your growth and wellbeing, so you can thrive at work and in life:

Flexible working options, including hybrid work possibilities (for office-based roles)
Learning and development opportunities to grow your career
Healthcare contribution and access to the Employee Assistance Program
Attractive employee discounts across various products and services

What to expect from our hiring process

We are committed to an inclusive and respectful hiring experience and are happy to provide reasonable accommodations if needed. Our workplaces are fully accessible and supported by a strong safety culture, with modern installations and procedures to ensure a safe environment for everyone.

The hiring process typically includes a video interview with Talent Acquisition, an interview with the hiring team, and a final discussion and offer. We review applications as they are received and close the role once a strong list of relevant candidates is identified, so we encourage you to apply early. All information is treated confidentially.

Ready to start your career journey with us?

Apply now and transform your potential into something extraordinary.

Jetzt bewerben

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R&D AI Intern - Scientific Knowledge Integration

Stagiaire Universitaire 12 mois, IT - Data Intelligence

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