NLP Engineer (LLM) Work From Home Internship

1. Strong understanding of natural language processing (NLP) and machine learning (ML) concepts

2. Hands-on experience with frameworks such as TensorFlow, PyTorch, or Hugging Face

3. Familiarity with Large Language Models (e.g., GPT, BERT, or similar) and their applications

4. Proficiency in Python programming, particularly in working with NLP libraries (e.g., spaCy, NLTK)

5. Experience in API Integration for connecting LLMs with other software systems

6. Basic understanding of data preprocessing, cleaning, and dataset curation techniques

7. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is a plus

8. Knowledge of prompt engineering and fine-tuning LLMs

9. Experience with version control tools like Git

10. Strong problem-solving and analytical skills

11. Excellent written and verbal communication abilities

12. Ability to work collaboratively in a team-oriented environment

13. Eagerness to learn new tools and technologies