Ap26 - Bac +5 - Apprenti Ingénieur Modèles De Langage Leger (slm) (h/f)

Renault Group

Remote
Remote
Small language models (slm)
Large language models (llm)
Retrieval-augmented generation (rag)
Renault Group is offering a remote internship for a Master’s level student in AI or Data Science, focusing on the development of a next-generation engineering assistant using generative AI and language models. The position involves hands-on projects related to the automotive industry's digital transformation, providing a valuable learning experience

Job Summary

  • Contribute to the design, evaluation, and prototyping of an intelligent engineering assistant based on generative AI.
  • Conduct a comparative study of SLM vs LLM focusing on business quality, latency, inference costs, robustness, and memory footprint.
  • Develop a RAG pipeline using vector databases and contribute to the definition of a hybrid SLM+LLM architecture.

Matching Summary

Match Score: 85

Renault Group is offering a remote internship for a Master’s level student in AI or Data Science, focusing on the development of a next-generation engineering assistant using generative AI and language models. The position involves hands-on projects related to the automotive industry's digital transformation, providing a valuable learning experience.

Skills & Requirements

Must-have

  • Small Language Models (SLM)
  • Large Language Models (LLM)
  • Retrieval-Augmented Generation (RAG)
  • Python, PyTorch or TensorFlow
  • HuggingFace and Git

Nice-to-have

  • NLP, MLOps or model optimization
  • Curiosity and scientific rigor
  • Good writing and synthesis skills

Key Requirements

  • BAC +5 degree in AI/Data Science/Computer Science
  • Experience with fine-tuning (LoRA/QLoRA), quantization
  • Knowledge of RAG, vector DB, embeddings
  • Understanding of deployment (Docker, conda/env, APIs)

Work Rights

Not specified

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