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LLM Fine-Tuning Engineer

Fatima Al-Rashid

Freelance · Mid-level · New_York

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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

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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

Skills

python pytorch hugging face aws statistics

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