ML Engineer, NLP & LLMs | Remote‑Friendly + Stock Options

Dormont Manufacturing Co

France

Hybride

EUR 55 000 - 85 000

Plein temps

14 jours+
Générateur de candidature

Une candidature complète en une minute — un CV et une lettre de motivation personnalisés, prêts à être envoyés.

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Avantages offerts par ce poste

Competitive package
Stock options
Free health insurance
Lunch vouchers
Gym subscription
Trust and flexible working hours
High-end equipment
Remote-friendly environment

Résumé du poste

Pigment, based in France, is looking for an experienced ML Engineer to contribute to cutting-edge NLP projects. In this role, you'll be instrumental in the development and enhancement of advanced LLMs.

Ideal candidates have a solid background in computer science, at least 5 years of experience in machine learning, and expertise in deploying models in production. The role offers a competitive salary, stock options, and flexible working conditions.

Qualifications

  • Minimum of 5 years of experience in NLP and machine learning.
  • Strong understanding of NLP techniques and tokenization.
  • Hands-on experience with large language models is required.

Responsabilités

  • Research and improve LLM models for advanced use cases.
  • Implement and deploy models in production environments.
  • Conduct benchmarking to assess model performance.

Connaissances

NLP and machine learning
Programming in SQL and Python
Experience with ML libraries (e.g., TensorFlow, PyTorch)
Understanding of large language models (GPT, BERT)
Problem-solving skills

Formation

MS or Ph.D. in Computer Science, Mathematics, or related field

Outils

TensorFlow
PyTorch
scikit-learn
GCP

Description du poste

Pigment, based in France, is looking for an experienced ML Engineer to contribute to cutting-edge NLP projects. In this role, you'll be instrumental in the development and enhancement of advanced LLMs.

Ideal candidates have a solid background in computer science, at least 5 years of experience in machine learning, and expertise in deploying models in production. The role offers a competitive salary, stock options, and flexible working conditions.

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