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Working Student in Applied AI/Machine Learning - Remote

Posted 2 weeks ago
Data Analysis
Internship
Germany

Overview

TOOLPLACE GmbH is digitizing procurement in the plastics industry, making it more efficient, sustainable, and future-proof. Our vision is an AI-powered B2B platform that rethinks supplier search, RFQ processes, and project management.

In Short

  • Development and evaluation of ML/NLP models for search, matching, or classification problems.
  • Work with LLMs like OpenAI and Claude to develop AI-powered features.
  • Preprocessing and analysis of structured and unstructured data.
  • Integration of AI models into our web platform with support from developers.
  • Support in the design of prompt strategies and AI agents.
  • Development of AI components for analyzing and classifying technical data, especially 3D models.

Requirements

  • Studying in Computer Science, Data Science, Mathematics, or similar (at least 3rd semester).
  • Initial experience with Machine Learning, NLP, or generative AI through projects, university, or personal experiments.
  • Knowledge in Python and common ML frameworks like scikit-learn, LangChain, OpenAI SDK, Transformers.
  • Interest in AI assistants, semantic search, and pragmatic AI development.
  • Ability to work independently and a desire to make a real impact.

Benefits

  • An innovative product with a real AI mission in the B2B sector.
  • Plenty of room to experiment, research, and implement your own ideas.
  • Flexible working hours, remote or hybrid in our Leipzig office.
  • Personal development and close support from experienced developers and founders.

Translated from German

TOOLPLACE

TOOLPLACE

TOOLPLACE GmbH is a forward-thinking company focused on digitizing procurement processes in the plastics industry, making them more efficient, sustainable, and future-ready. The company's vision is to create an AI-driven B2B platform that reimagines supplier search, RFQ processes, and project management. TOOLPLACE is dedicated to developing innovative AI components and is looking for motivated individuals to join their team in the field of Applied AI and Machine Learning.

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