Intern In The Field Of Graphrag-based Ai Assistants (d/f/m)
CTC GmbH
Stade, Germany
Enrolled full-time student in computer science or engineering
Proficiency in python programming and ml frameworks
Experience with large language models (llms) and nlp
The role involves analyzing existing GraphRAG architecture to identify latency bottlenecks and optimize local LLM calls for real-time shop floor applications
Job Summary
The role involves analyzing existing GraphRAG architecture to identify latency bottlenecks and optimize local LLM calls for real-time shop floor applications.
Candidates will design performance-enhanced LLM pipelines and develop automated testing procedures to benchmark improvements against legacy workflows.
Interns work directly with interfaces and participate in weekly team meetings within an international environment, avoiding menial tasks like brewing coffee.
Matching Summary
The role involves analyzing existing GraphRAG architecture to identify latency bottlenecks and optimize local LLM calls for real-time shop floor applications.
Skills & Requirements
Must-have
Enrolled full-time student in Computer Science or Engineering
Proficiency in Python programming and ML frameworks
Experience with Large Language Models (LLMs) and NLP
Nice-to-have
Familiarity with Graph Databases like Neo4j
Knowledge of speech processing technologies STT/TTS
German language proficiency
Key Requirements
Full-time enrollment in relevant degree program
Fluent English communication skills
Hands-on experience with PyTorch, LangChain, or Hugging Face