Posted:2 days ago|
Platform:
Remote
Full Time
We are seeking an experienced LLM Engineer to join our team. The successful candidate will have a strong background in developing and fine-tuning large language models (LLMs) using PyTorch. The ideal candidate will be well-versed in various fine-tuning methods, including LoRa, QLora, and PEFT, and have experience with optimization libraries like Unsloth.
* Design, develop, and deploy large language models (LLMs) using PyTorch
* Fine-tune LLMs using various methods like LoRa, QLora, PEFT, and Quantization
* Optimize LLM performance using libraries like Unsloth and vLLM
* Collaborate with cross-functional teams to integrate LLMs into products and services
+ 3+ years of experience in developing and fine-tuning LLMs using PyTorch
+ Strong understanding of deep learning concepts and architectures
+ Experience with fine-tuning methods like LoRa, QLora, PEFT, and Quantization
+ Familiarity with optimization libraries like Unsloth and vLLM
+ Experience with open-source deep learning libraries
+ Knowledge of model quantization and deployment strategies
+ Familiarity with containerization using Docker
* Experience with other deep learning frameworks
* Knowledge of transfer learning and domain adaptation techniques
* Familiarity with model interpretability and explainability techniques
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