About the role

  • Support descriptive and predictive analyses in the context of large language models (LLMs);
  • Participate in building and evaluating pipelines involving fine-tuning, instruction tuning, and LLM integration;
  • Support the development and testing of intelligent agents, including the use of external tools and knowledge bases;
  • Assist in defining performance metrics and interpreting model results;
  • Contribute to methodologies, assessment of model limitations, and best practices for model use.

Requirements

  • Currently enrolled in a degree program in Computer Engineering, Computer Science, or a related field;
  • Proficiency in Python;
  • Familiarity with machine learning and NLP libraries and frameworks such as Hugging Face Transformers, LangChain, OpenAI API, TensorFlow and/or PyTorch, and basic knowledge of fine-tuning and RAG (Retrieval-Augmented Generation) techniques;
  • Basic knowledge of Git and SQL, and familiarity with shell scripting and Linux environments;
  • Advanced English (for reading documentation and technical articles).

Job title

Data Science Intern

Job type

Experience level

Entry level

Salary

Not specified

Degree requirement

Associate's Degree

Location requirements

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