LLM/RAG – Machine Learning Engineer Intern

Job not on LinkedIn

🔥 0 minutes ago

🌏 Anywhere in the World

👨‍🎓 Internship

⚪️ Entry-level

🤖 Machine Learning Engineer

🚫👨‍🎓 No degree required

🗣️🇩🇪 German Required

Where this job comes from

Posted on U-Glow's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

Logo of U-Glow

U-Glow

1 - 10 employees

Founded 2020

🏥 Healthcare

🏭 Manufacturing

📦 Logistics

Healthcare • Manufacturing • Logistics

U-Glow is an AI-driven software and consulting firm that develops user-centric, custom software solutions using generative AI, large language models, machine learning, IoT and advanced data analytics. It offers R&D, prototyping and testing, software development, systems engineering and technology due diligence, plus domain-focused applications such as AI tools for medical practices. U-Glow targets business clients with tailored solutions to automate processes, extract insights from data, and enable real-time device visualization and control.

📋 Description

• Develop AI systems comprising LLMs, RAG, databases, parsers, digital avatars, and custom Python functions • Systematically analyze retrieval quality and usability and independently optimize both • Use generative AI for vibe coding to rapidly implement high-quality software • Develop pipelines and models in Python and ensure quality through a rigorous testing strategy • Help optimize the pipeline architecture • Participate in brief team meetings and work closely with various departments

🎯 Requirements

• You are studying Computer Science, Data Science, Geoinformatics, or a related field. • You have experience with Python, Cursor or VS Code, and Git. • You are interested in LLMs, RAG, and digital avatars. • You work in a structured, independent, and solution-oriented manner. • Ideally, you have initial GitHub projects, contributions, or your own repositories. • You are eager to take on responsibility and explore new technologies. • You have excellent German and English language skills. • You must be enrolled in a degree program for the duration of the internship.

🏖️ Benefits

• Work on a genuine project of the future with a strong focus on sustainability and societal impact • Valuable portfolio projects to support your future career • Learning by doing: the opportunity to experiment independently and test your abilities • Room for experimentation: contribute your own ideas, test models, and explore innovative approaches • An open, dynamic working environment with flat hierarchies • Work as part of a young, committed, and supportive tech team • Flexible working hours to help you balance your studies, work, and private life • 100% remote work • Extensive hands-on experience and the opportunity to work independently

Apply Now

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