Applied ML Engineer — Fine-tuning

Best AI Tools Wiki

Paris

Hybride

EUR 85 000 - 120 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Equity stake

Remote-first

Annual retreats

Conference budget

Relocation support

Résumé du poste

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.

Qualifications

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.

Responsabilités

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.

Connaissances

ML engineering

LLM fine-tuning

Python

PyTorch

Data curation

Model evaluation

Description du poste

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