Responsibilities:
Research, design, and develop LLM-based models and algorithms to solve real-world challenges.
Collaborate with cross-functional teams including data scientists, software engineers, and domain experts to understand requirements and develop innovative solutions.
Explore and implement state-of-the-art techniques in LLM, NLP, and machine learning to improve model performance and efficiency.
Perform data preprocessing, feature engineering, and model evaluation to ensure high-quality results.
Optimize LLM models for scalability, speed, and resource efficiency to meet production requirements. Stay updated with the latest advancements in LLM, NLP, and machine learning research and integrate relevant findings into our projects.
Contribute to the development of best practices, guidelines, and documentation for LLM development and deployment.
Develop and fine-tune Language Models (LLMs) to improve performance and accuracy.
Collaborate with research teams to understand project requirements and develop custom LLM solutions.
Implement and optimize LLM architectures for specific use cases and applications.
Stay up to date with the latest advancements in LLM research and technology.
Write clean, efficient, and maintainable code for LLM development projects.
Conduct testing and debugging to ensure the quality of LLM implementations.
Document code, processes, and best practices for LLM development.