AI Model Optimization Expert

1 week ago


ajmer, India beBeeLanguage Full time

Design and Optimize Large Language ModelsWe are seeking a skilled Research Engineer to help design, train, and optimize large language models and high-performance inference systems. Key responsibilities include building and optimizing LLM training and inference pipelines on cloud GPUs, generating, curating, and maintaining datasets for pretraining and finetuning.The ideal candidate will have strong Python skills, solid software engineering practices, hands-on experience with LLM training and inference, proficiency with PyTorch or JAX, and experience with Hugging Face libraries: transformers, trl, accelerate. Additionally, the successful candidate will be proficient in implementing and improving transformer architectures (attention, positional encodings, MoE) and optimizing inference using FlashAttention, PagedAttention, KV caches, and serving frameworks like vLLM / sglang.Collaborate with cross-functional teams to drive innovation in AI research.Develop and implement cutting-edge deep learning algorithms and techniques to improve model performance.Conduct thorough research and experimentation to identify opportunities for improvement and develop solutions.This role offers an opportunity to work at the forefront of AI research, collaborating with a talented team of engineers and researchers to push the boundaries of what is possible with language models.



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