Über
Architect and optimize retrieval-augmented generation (RAG) workflows and integrate local LLMs with retrieval mechanisms Design and maintain scalable data pipelines for structured and unstructured data ingestion and retrieval Collaborate with cross-functional teams to ensure efficient information retrieval and context generation for business applications
Required Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field Proven experience in designing and scaling data pipelines and training data workflows for LLMs or similar AI systems Strong background in information retrieval systems and vector search technologies Proficiency in programming (Python) and machine learning libraries (TensorFlow, PyTorch) Experience with ontologies, knowledge graphs, and semantic technologies
Sprachkenntnisse
- English
Hinweis für Nutzer
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