1 AI role tagged fine_tuning.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| UPS | UPS Digital Senior Machine Learning Engineer | Logistics | 8 | Agent orchestration · Tool use · Model serving · Inference infra |
Adapting a pretrained model to specific data or behavior through additional training, including supervised fine-tuning, preference tuning (DPO, ORPO), and LoRA-style parameter-efficient methods.
Primary AI lifecycle stage: post-training.
As of today, 1,893 active AI roles across 204 companies in our index reference Fine-tuning. Hiring concentrates at the agents (44%) and post-training (26%) stages. Most common sectors: Big Tech, Enterprise, Banking. New postings fell 23% in the last 30 days versus the prior 30 (830 → 636).
Adapting a pretrained model to specific data or behavior through additional training, including supervised fine-tuning, preference tuning (DPO, ORPO), and LoRA-style parameter-efficient methods. Primary AI lifecycle stage: post-training.
1,893 active AI roles across 204 companies in our index reference Fine-tuning as of today. New postings fell 23% in the last 30 days versus the prior 30 (830 → 636).
The companies with the most active Fine-tuning listings are: Amazon (235 roles), Capital One (127 roles), Google (98 roles), JPMorgan Chase (86 roles), NVIDIA (77 roles).
Fine-tuning primarily belongs to the post-training stage of the AI lifecycle. In current hiring, Fine-tuning roles concentrate at: agents (44%), post-training (26%).
The sectors with the most active Fine-tuning hiring are: Big Tech, Enterprise, Banking.