Applied ML Engineer: Fine-tuning (Remote-First)

Best AI Tools Wiki

Paris

Hybrid

EUR 85.000 - 120.000

Vollzeit

14 Tage+

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Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Equity stake
Remote-first
Annual retreats
Conference budget
Relocation support

Zusammenfassung

Best AI Tools Wiki is seeking an Applied ML Engineer to develop and improve fine-tuning capabilities for our language models. You will build fine-tuning infrastructure, design data pipelines, and help customers customize models for their use cases.

Ideal candidates have 3+ years of ML engineering experience, strong experience in LLM fine-tuning (LoRA, QLoRA, full), and proficiency in Python and PyTorch. You will collaborate with product teams and customers to deliver robust, scalable solutions.

Qualifikationen

  • 3+ years of ML engineering experience.
  • Strong experience with LLM fine-tuning (LoRA, QLoRA, full).
  • Proficiency in Python and PyTorch.
  • Understanding of training data curation and quality.
  • Experience with model evaluation and benchmarking.

Aufgaben

  • Develop fine-tuning infrastructure for language models.
  • Design and implement data pipelines for model fine-tuning.
  • Improve fine-tuning capabilities across products.
  • Help customers customize models for their use cases.
  • Benchmark and evaluate model performance.

Kenntnisse

ML engineering
LLM fine-tuning
Python
PyTorch
Data curation
Model evaluation

Jobbeschreibung

Mistral AI is seeking an Applied ML Engineer to develop and improve fine-tuning capabilities for our language models. You will build fine-tuning infrastructure, design data pipelines, and help customers customize Mistral models for their specific use cases.

Requirements
  • 3+ years of ML engineering experience
  • Strong experience with LLM fine-tuning (LoRA, QLoRA, full)
  • Proficiency in Python and PyTorch
  • Understanding of training data curation and quality
  • Experience with model evaluation and benchmarking
Nice to Have
  • Experience with Mistral models
  • Background in data-efficient training methods
  • Familiarity with instruction tuning
  • Experience with customer-facing technical work
Equity in a European AI leader

Remote-first culture

Annual team retreats

Conference budget

Relocation support

Skills

This listing was posted on 2026-01-30 and is almost certainly closed. It is kept for reference — check the employer’s own careers page for current openings.

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