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NLP Engineer

  • Location:

    Brussels

  • Sector:

    Technology

  • Job type:

    Permanent

  • Salary:

    Negotiable

  • Contact:

    Sona Toghramajyan

  • Contact email:

    sona.toghramajyan@oliverjames.com

  • Job ref:

    JOB-102024-260120_1728631733

  • Published:

    6 dagen geleden

  • Expiry date:

    2024-11-10

We are looking for a talented NLP Engineer with 3 to 5 years of experience to join our team and lead the development of a key internal project. You will be responsible for building a chatbot based on Large Language Models (LLM), which will be integrated into our business processes to improve customer interactions and streamline operations.

Key Responsibilities:

  • Lead the design, development, and deployment of the chatbot using advanced NLP techniques and LLMs.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Develop and maintain scalable NLP models for natural language understanding, dialogue management, and text generation.
  • Ensure high-performance, accuracy, and robustness of the chatbot system.
  • Work with cloud infrastructure (preferably Azure) to integrate the chatbot and related services
  • Monitor, optimize, and improve the performance of the chatbot through ongoing model refinement and updates.

Requirements:

  • 3 to 5 years of hands-on experience in Natural Language Processing (NLP) and related fields.
  • Proficiency in Python and experience with popular NLP libraries such as spaCy, NLTK, Transformers, etc.
  • Experience with Large Language Models and conversational AI development.
  • Strong understanding of cloud platforms, particularly Azure (Azure Data Factory experience preferred).
  • Experience in designing and deploying machine learning pipelines and NLP workflows.
  • Good knowledge of model evaluation, optimization, and fine-tuning techniques.
  • Ability to work autonomously and collaborate effectively with cross-functional teams.
  • Fluent in English, both written and spoken.
  • Preferred Qualifications:
  • Experience with other cloud platforms (AWS, GCP) is a plus.
  • Familiarity with MLOps best practices and tools.
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