LLM Fine-tuning Specialist

Main mission

Adapts large language models to specific domains.

5 key responsibilities

• Build and curate high-quality training datasets.
• Apply adaptation techniques: LoRA, QLoRA, PEFT, RLHF.
• Evaluate adapted models against generic models (industry benchmarks).
• Arbitrate between fine-tuning, RAG, and prompting based on actual needs.
• Document and industrialize adaptation pipelines.

Key skills

RLHF, LoRA, QLoRA, PEFT, transformer architecture, dataset curation.

What's expected

Ability to demonstrate when fine-tuning adds real value versus simpler solutions. One of the most sought-after and least filled niches.

Career paths

AI Research Scientist, GenAI Architect, Lead Specialized Models.