Internship and Masterthesis (m/f/d) in the Area of Large Language Model (LLM) for automation of production processes
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What you'll do
- 3-months voluntary Internship: The task is to develop use case of LLM model towards automation and optimization of the cognitive - data transfer involving identification, selection and filtering tasks in production engineering.
- Student is required to produce a use-case tool for the production department through the application of LLMs.
- The tool development will involve training of the LLM model through the process of tokenization, transformation of the variables of integration, assembly at the production department.
- Thesis: The task is to research multiple use case of LLM model towards automation and optimization of the tasks thereby realizing optimal use case of LLM for production procedures.
- To systematically analyze the automation tool development which involves training of the LLM model through the process of tokenization, transformation of the variables of integration and assembly at the production department.
- Also, to document the error studies and limitation of the tool developed with LLM for the production department.
What they're looking for
- You are a fulltime enrolled masters student (d/f/m) within AI, Machine Learning etc. with a background in Production/Mechanical/Aerospace (BA) or related studies.
- You have experience with Coding (Python, MACRO), Large Language Models (LLM), Machine Learning techniques.
- You have experience with Servers handling capacity or knowledge.
- You are fluent in English.
Nice to have
- First project experience would be beneficial.
- First experience with automation processes.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Internship and Masterthesis (d/f/m) in the Area of application of Large Language Model (LLM) towards automation of production processes
Are you keen to embark on a space adventure? Would you like to play a part in ensuring European space autonomy and sovereignty? ArianeGroup’s international teams design and build cutting-edge technologies for space, defence and industry: they are shaping Europe’s future in space. Whether you are a first-time job-seeker or an experienced professional, you’ll find that our 13 sites in Germany, mainland France and French Guiana offer career opportunities spanning a wide array of professions – engineering, customer service, quality control, legal matters and production, to name just a few. Here, you can discover our job.
ArianeGroup GmbH in Bremen is offering an ‘Internship and Masterthesis (d/f/m) in the Area of Large Language Model (LLM) for automation of production processes’ for the department ‘Production Engineering’ starting 15.11.2026.
What we offer you:
- 🚀 Practical experience and involvement in an international aerospace company
- 💶 Attractive remuneration
- 🌤Company health management (regular prevention programmes, social counselling, company integration management)
- 🕓 Flexible working hours with partial home office option
- 🎾 Discount through employee benefits
- 🥗 Staff canteen and car park
Your main tasks and activities:
- 3-months voluntary Internship: The task is to develop use case of LLM model towards automation and optimization of the cognitive - data transfer involving identification, selection and filtering tasks in production engineering. Student is required to produce a use-case tool for the production department through the application of LLMs. The tool development will involve training of the LLM model through the process of tokenization, transformation of the variables of integration, assembly at the production department. The internship is intended to prepare students for their thesis.
- Thesis: The task is to research multiple use case of LLM model towards automation and optimization of the tasks thereby realizing optimal use case of LLM for production procedures. To systematically analyze the automation tool development which involves training of the LLM model through the process of tokenization, transformation of the variables of integration and assembly at the production department. Also, to document the error studies and limitation of the tool developed with LLM for the production department.
- The outcome of the combined thesis and internship is optimal tool with capability for automation of atleast one production procedure and then documentation with error studies.
You have the following qualifications:
- You are a fulltime enrolled masters student (d/f/m) within AI, Machine Learning etc. with a background in Production/Mechanical/Aerospace (BA) or related studies.
- You have experience with Coding (Python, MACRO), Large Language Models (LLM), Machine Learning techniques.
- You have experience with Servers handling capacity or knowledge.
- First project experience would be beneficial.
- First experience with automation processes.
- You are fluent in English.
Are you interested?
Then we look forward to receiving your application, including CV, github profile cover letter and references, via the application button. Please note that currently only one document can be uploaded with the application. Please use a free online tool to summarise your documents in a PDF.
Your contact person for questions:
Miriam Schmitz (yp-recruitment@ariane.group)
Few more words about our site of Bremen
This site, located on the outskirts of the Hanseatic city of Bremen in north-west Germany, has specialised in the development and manufacture of the upper stage of the Ariane launchers since the start of the programme. Its experts are responsible for the design, development and final integration of the Ariane 6 upper stage. They are also developing the Astris Kick Stage, an additional upper stage powered by the future reignitable bi-propellant engine called Berta, which will further enhance Ariane 6’s versatility. The Bremen site also produces metal tanks for the orbital propulsion systems.
ArianeGroup strongly believes in diversity as a key factor to strengthen innovation and collaboration.
We welcome all applications and are committed to creating an inclusive working environment.
Our selection criteria are based on competencies and professional skills alone.
Company
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