LLM Engineer (Large Language Model)

Develop and fine-tune large language models for specific applications.
Optimize LLMs for performance, scalability, and deployment efficiency.
Collaborate with researchers and data scientists to implement cutting-edge techniques.
Build pipelines for data collection, preprocessing, and model evaluation.
Monitor and address issues in LLM performance and reliability.

Strong experience with Python and AI frameworks like PyTorch or TensorFlow.
Proficiency in transformer architectures (e.g., GPT, BERT).
Expertise in natural language processing (NLP) and large-scale data handling.
Familiarity with distributed training and cloud-based AI environments.
Master's or Ph.D. in AI, Computer Science, or related field preferred.