LLMs Applied Scientist

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