Tasks:
- * Design text generation, semantic understanding, and dialogue applications
- * Develop and deploy LLM solutions
- * Document and share technical knowledge
- * Evaluate and optimize model performance and stability
- * Fine-tune pretrained models
- * Research and apply emerging LLM technologies
Perks/Benefits:
Skills/Tech stack required:
[AI Agents] [Algorithm Design] [AutoGPT] [Caffe] [Data Structures] [Fine Tuning] [Go] [Kubernetes] [Langchain] [Language Models] [Large Language Models] [LLM Deployment] [Model Evaluation] [Model Fine-tuning] [Model Optimization] [Prompt engineering] [Python] [PyTorch] [TensorFlow]
Educational requirements:
N/A
Role(s):
[Engineer] [Language Model Engineer] [Large Language Model Engineer] [Model Engineer]