Assist in fine-tuning large pre-trained language models for specific tasks and domains.

Work with the team to develop and implement innovative NLP algorithms and architectures.

Contribute to training, testing, and optimizing large language models (LLMs).

Collaborate with cross-functional teams to integrate LLMs into applications and products.

Conduct data pre-processing, tokenization, and annotation to improve model performance.

Help with model evaluation and generate insights based on results.

Research and implement state-of-the-art techniques to improve LLM performance, scalability, and accuracy.

Stay updated on the latest research in NLP and machine learning.

Bachelor’s degree in Computer Science, Information Technology, Engineering

Strong understanding of machine learning concepts and natural language processing techniques.

Familiarity with popular LLM architectures like GPT, BERT, or T5.

Proficiency in programming languages such as Python, with experience using machine learning libraries like TensorFlow or PyTorch.

Basic experience with NLP tools and frameworks, such as Hugging Face, spaCy, or NLTK.

Familiarity with data preprocessing, including tokenization, stopword removal, and text vectorization.

A passion for AI research and an eagerness to learn about the latest advancements in LLM technology.

Experience fine-tuning and deploying language models in production environments.

Exposure to reinforcement learning or transfer learning techniques for LLMs.

Familiarity with deep learning concepts such as transformers, attention mechanisms, and multi-task learning.

Understanding of the ethical implications of LLM technology, such as fairness, bias, and transparency.

Ability to work with cloud platforms and distributed computing environments for model training (e.g., AWS, GCP, or Azure).

Hands-on experience with cutting-edge NLP research and large-scale AI models.

Mentorship from experienced AI researchers and machine learning engineers.

Flexible working hours and the option to work

remotely.

Certificate of Internship and Letter of Recommendation upon successful completion.

Opportunity to transition into a full-time role based on performance.