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python machine learning transformers llm lora📋 Description
- Assist in training, fine-tuning, and evaluation of LLMs using data.
- Support AI agents: prompts, memory modules, and planning tools.
- Design and manage data annotation pipelines: schema, labeling guidelines, QC.
- Collaborate with research/engineering to boost model performance and scalability.
- Conduct experiments and analyze data; document methodologies and findings.
- Explore new tools and best practices to enhance LLM systems.
🎯 Requirements
- Currently pursuing or recently finished CS/AI/EE degree.
- Solid ML and deep learning fundamentals.
- Familiarity with transformer models/LLMs (LLaMA, Qwen) a plus.
- Experience or interest in prompt engineering, LoRA, QLoRA, and evaluation.
- Basic knowledge of data annotation workflows and labeling tools.
- English fluency; strong analytical skills; able to work independently.
🎁 Benefits
- Competitive salary and benefits
- Work-from-home arrangement
- Early Career Talent program with networking and development
- Opportunity for career growth and continuous learning
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