Senior ML Engineer – Legal AI Platform (Hybrid)

Starther

Paris

Hybride

EUR 60 000 - 80 000

Plein temps

14 jours+
Générateur de candidature

Une candidature sur mesure pour ce poste — un CV et une lettre de motivation personnalisés qui correspondent à l’offre.

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Avantages offerts par ce poste

Flexible remote work policy
Career growth opportunities
Generous vacation policy
Yearly budget for training
Health insurance
Gym subscription
Meal card
Discounts and perks through CSE

Résumé du poste

A leading AI legal platform based in Paris seeks an Experienced/Senior Machine Learning Engineer to develop NLP models and enhance legal document processing. The ideal candidate has a robust understanding of machine learning techniques, strong Python skills, and a willingness to learn about legal frameworks. Candidates should be proficient in French. This full-time role offers a dynamic work environment with a flexible remote policy and numerous professional development opportunities.

Qualifications

  • Strong knowledge of classical and deep learning for data extraction and recommendation.
  • Experience with NLP, especially legal document processing.
  • Strong Python skills, focused on algorithm design.

Responsabilités

  • Develop ML models for information search and recommendation in legal documents.
  • Maintain and monitor ML models in production.
  • Collaborate with multidisciplinary teams for product development.

Connaissances

Machine Learning
Natural Language Processing
Python
MLOps
Elasticsearch
French Proficiency

Description du poste

A leading AI legal platform based in Paris seeks an Experienced/Senior Machine Learning Engineer to develop NLP models and enhance legal document processing. The ideal candidate has a robust understanding of machine learning techniques, strong Python skills, and a willingness to learn about legal frameworks. Candidates should be proficient in French. This full-time role offers a dynamic work environment with a flexible remote policy and numerous professional development opportunities.
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