- Conduct research on prompt engineering techniques to improve the performance and interpretability of generative models.
- Collaborate with data scientists, prompt engineers, and AI researchers to design, experiment, and evaluate prompts across various generative AI models.
- Develop, implement, and optimize machine learning and NLP models to advance the field of generative AI.
- Analyze large datasets to identify trends, insights, and opportunities for model improvement.
- Contribute to the development of best practices and guidelines for prompt engineering.
- Share findings through publications, presentations, and internal documentation to promote knowledge-sharing within the community.
- Assist in organizing and leading workshops, webinars, and community events focused on generative AI and prompt engineering.
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong foundation in machine learning algorithms and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Expertise in natural language processing and experience with large language models.
- Proven research experience with a track record of publications in reputable journals or conferences.
- Proficient programming skills in Python and familiarity with AI development tools.
- Excellent problem-solving abilities and analytical skills.
- Strong communication skills and ability to work collaboratively.
TBD