LLM/RAG – Machine Learning Engineer Intern

Job not on LinkedIn

🔥 1 minute ago

🌏 Anywhere in the World

👨‍🎓 Internship

⚪️ Entry-level

🤖 Machine Learning Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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U-Glow

WebsiteLinkedInAll Job Openings

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

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