AI Engineer LLM Implementation

Job is Expired
Location: Remote
Compensation: To Be Discussed
Staff Reviewed: Fri, May 10, 2024

Job Summary

A company is looking for a Sr. AI Engineer.

Key Responsibilities:
  • Implement, train, fine-tune, and optimize large language models (LLMs) for specific healthcare applications
  • Utilize Kubernetes and containerization for LLM deployment and scaling
  • Oversee data preprocessing and apply advanced methods to enhance model outputs

Required Qualifications:
  • 2+ years of experience in refining large language models
  • Proficiency in Python, PyTorch or TensorFlow, and CUDA for GPU acceleration
  • At least 2 years of experience in data cleaning, preprocessing, and manipulation
  • Experience in fine-tuning LLMs for specific tasks, particularly in a Q&A context
  • Familiarity with LLM frameworks like LangChain, OpenLLM, vLLM, and Llama2

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