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Intern in the field of GraphRAG-based AI Assistants(m/w/x)
Analyzing GraphRAG architecture for latency bottlenecks and optimizing local LLM calls. Python proficiency and first LLM/NLP experience required. Global networking and flexible working arrangements.
Requirements
- Enrolled full-time student in Computer Science, Data Science, Engineering with IT/software focus, or equivalent
- First practical experience in LLMs, NLP, or general AI development (desirable)
- Proficiency in Python programming
- Familiarity with Graph Databases (neo4j) or speech processing (STT/TTS) (plus)
- Awareness of compliance risks and commitment to integrity
Tasks
- Analyze GraphRAG architecture for latency bottlenecks
- Focus on efficiency and frequency of local LLM calls
- Research state-of-the-art LLM optimization techniques
- Explore model selection, quantization, and prompt chaining
- Design performance-enhanced LLM pipeline
- Implement pipeline to reduce real-time inference time
- Develop automated testing pipelines
- Conduct comprehensive latency studies
- Benchmark new concept against legacy workflow
- Optionally, conduct usability studies
- Ensure improved response times meet practical needs
Education
- Currently in higher education
Languages
- English – Fluent
- German – Basic
Tools & Technologies
- Large Language Models (LLMs)
- Natural Language Processing (NLP)
- AI development
- Python
- PyTorch
- LangChain
- Hugging Face
- Graph Databases
- neo4j
- GraphRAG
- speech processing technologies
- STT
- TTS
Benefits
Informal Culture
- International environment
Startup Environment
- Global networking opportunity
Diverse Work
- Work with modern/diversified technologies
Social Impact
- Participation in Generation Airbus Community
Flexible Working
- Flexible working arrangements
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Intern in the field of GraphRAG-based AI Assistants(m/w/x)
Analyzing GraphRAG architecture for latency bottlenecks and optimizing local LLM calls. Python proficiency and first LLM/NLP experience required. Global networking and flexible working arrangements.
Requirements
- Enrolled full-time student in Computer Science, Data Science, Engineering with IT/software focus, or equivalent
- First practical experience in LLMs, NLP, or general AI development (desirable)
- Proficiency in Python programming
- Familiarity with Graph Databases (neo4j) or speech processing (STT/TTS) (plus)
- Awareness of compliance risks and commitment to integrity
Tasks
- Analyze GraphRAG architecture for latency bottlenecks
- Focus on efficiency and frequency of local LLM calls
- Research state-of-the-art LLM optimization techniques
- Explore model selection, quantization, and prompt chaining
- Design performance-enhanced LLM pipeline
- Implement pipeline to reduce real-time inference time
- Develop automated testing pipelines
- Conduct comprehensive latency studies
- Benchmark new concept against legacy workflow
- Optionally, conduct usability studies
- Ensure improved response times meet practical needs
Education
- Currently in higher education
Languages
- English – Fluent
- German – Basic
Tools & Technologies
- Large Language Models (LLMs)
- Natural Language Processing (NLP)
- AI development
- Python
- PyTorch
- LangChain
- Hugging Face
- Graph Databases
- neo4j
- GraphRAG
- speech processing technologies
- STT
- TTS
Benefits
Informal Culture
- International environment
Startup Environment
- Global networking opportunity
Diverse Work
- Work with modern/diversified technologies
Social Impact
- Participation in Generation Airbus Community
Flexible Working
- Flexible working arrangements
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
CTC GmbH
Industry
IT
Description
Das Unternehmen ist Deutschlands führendes Zentrum für Forschung und Entwicklung auf dem Gebiet der Konstruktion und Fertigung großer und komplexer CFK-Bauteile.
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