F
LLM Fine-Tuning Engineer
Fatima Al-Rashid
Freelance · Mid-level · New_York
About the role
We have domain-specific text data and want to fine-tune an open-source LLM to produce outputs that are consistent with our company voice and domain knowledge. Looking for an engineer with hands-on fine-tuning experience.
Key Deliverables
List the expected deliverables for this project.
- Prepare and clean our domain-specific training dataset
- Set up and run fine-tuning experiments using LoRA/QLoRA
- Evaluate model outputs against baseline and set benchmarks
- Deploy the fine-tuned model for inference
- Document the training process and evaluation results
Requirements
Technical stack needed for this mission.
- Proven experience fine-tuning LLMs (LoRA, QLoRA, full fine-tuning)
- Strong Python and PyTorch
- Familiarity with Hugging Face Transformers and PEFT
- Able to set up training on cloud GPUs (AWS, GCP, or Lambda Labs)
- Experience evaluating fine-tuned model quality
Contract Type
Fixed-price
Level
Mid-level
Budget Range
$8,000 – $18,000
Duration
1 – 3 months
AI Expertise
NLP & Prompt Engineering
data science & analytics
data science
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