LLMs Applied Scientist

Location: Remote
Compensation: To Be Discussed
Staff Reviewed: Tue, Feb 06, 2024
This job expires in: 8 days

Job Summary

A company is looking for a LLMs Applied Scientist.

Key Responsibilities:
  • Implement, train, fine-tune, and optimize LLMs for specific applications in healthcare
  • Utilize Kubernetes and containerization for the deployment and scaling of LLMs
  • Oversee data preprocessing and apply methods for enhancing model outputs
Required Qualifications:
  • 2+ years of experience applying and refining large language models
  • Experience with Kubernetes, container technologies, and multi-GPU deployment strategies
  • Proficiency in Python, frameworks like PyTorch or TensorFlow, and CUDA for GPU acceleration
  • At least 2 years of experience in data cleaning, preprocessing, and manipulation
  • Familiarity with fine-tuning LLMs for specific tasks or industries, particularly in a Q&A context

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