Hybrid Master's Intern, Retrieval-Augmented Virtual Assistant

Posted last month

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About the role

  • Research existing RAG strategies and models
  • Preprocess data to tailor the model(s) to specific tasks
  • Select the most suitable strategies for business needs
  • Develop a working prototype of the RAG model
  • Evaluate and optimize the model’s performance
  • Collaborate as part of the data team to shape AI support for customers

Requirements

  • Master's student with a background in data science
  • Passionate about AI, data science and LLM techniques
  • Openness to work with other cultures
  • Ability to function in a team
  • Interest in researching and developing RAG strategies and models

Benefits

  • Practical experience in Retrieval-Augmented Generation (RAG)
  • Hands-on exposure to LLM fine-tuning and deployment in real-world applications
  • Experience working with real datasets, preprocessing, and adapting them for AI models
  • Skills in model evaluation and optimization
  • Collaboration experience within a professional data science team
  • A concrete AI project to showcase to future employers
  • Access to data to train and fine-tune the AI assistant
  • Compute resources to develop and evaluate AI models
  • A collaborative and innovative work environment
  • Flexibility and focus on employee well-being

Job title

Master's Intern, Retrieval-Augmented Virtual Assistant

Job type

Experience level

Entry level

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

HybridBelgium

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