RESPONSIBILITIES

1. Work on fine-tuning and leveraging large language models like GPT-3, DALL-E.
2. Implement NLP pipelines and integrate LLMs for text generation, classification, QA.
3. Support training, evaluation and deployment of LLM prototypes and pilots.
4. Expand skills in prompt engineering, few-shot learning, hyperparameter tuning.
5. Participate in model versioning, experiment tracking, and results analysis.
6. Learn latest LLM research and techniques.

SKILLS AND QUALIFICATIONS

1. Have experience with Python, PyTorch, TensorFlow
2. Basic understanding of natural language processing and deep learning
3. Strong software engineering fundamentals
4. Knowledge of Git
5. BS or MS degree in computer science, ML, or related field

HOW TO APPLY

Interested candidates should submit their CV/Resume/Portfolio in English to email: giangvth1@fpt.com, huongnh@fpt.com

Email Title: [Full Time Negotiable] - [Your Full Name]