Fine-tuning
Continuing to train an existing model on your own data.
- 8.6%
- of core AI postings mention it
- 304
- postings
- 219
- companies
History starts on September 11, 2026. Movement needs a comparable later edition at least 30 days on.
Where it is mentioned most
Each row divides by that role's postings in this edition, highest share first.
Postings in 10 role families mention Fine-tuning in this edition.
In 1 of the 8 role families with a page of their own, at least one posting in five mentions Fine-tuning: LLM / NLP Engineer 36.0%.
Fine-tuning is more concentrated in LLM / NLP Engineer postings (36.0%) than across all core AI postings (8.6%): at least twice the overall share.
Fine-tuning is in LLM applications: a framework, LLM or domain signal. Read it together with the foundation and production skills that appear with it below.
How the readings are made: "more concentrated than overall" means that in a role family with a page of its own, at least 10 postings mention the skill and its share is at least 2 times its share of all core AI postings; "common" means at least 20% of a role's postings mention it. They describe the postings open in this edition, not a trend.
- LLM / NLP Engineer36.0%63 of 175 postings · at least twice overall
- AI Engineer10.2%178 of 1,741 postings
- AI Researcher10.0%6 of 60 postings · Sample below the page threshold; not read
- MLOps / Platform Engineer7.9%3 of 38 postings · Sample below the page threshold; not read
- Data Scientist7.3%11 of 151 postings
- 8 of 113 postings
- 13 of 321 postings
- 4 of 225 postings
- 2 of 123 postings
- 4 of 305 postings
Skills that appear with it
Each share divides by the postings that mention Fine-tuning: how many of them also mention each skill, grouped into three lenses.
Foundations and problem-solving
Categories: Languages, Machine learning, Data engineering, Databases, Methods and process
- Python84.2%Languages · 256 postings
- Machine Learning48.7%Machine learning · 148 postings
- System Architecture45.1%Methods and process · 137 postings
- Deep Learning42.4%Machine learning · 129 postings
Production and delivery
Categories: DevOps, Cloud, Tools
Framework, LLM and domain signals
Categories: Frameworks, LLM applications, Domain knowledge, Office software
- LLM83.5%LLM applications · 254 postings
- RAG54.6%LLM applications · 166 postings
- PyTorch46.7%Frameworks · 142 postings
- Generative AI43.4%LLM applications · 132 postings
- AI Agents42.4%LLM applications · 129 postings
- Prompt Engineering39.1%LLM applications · 119 postings
Industries and places
Share of this skill's postings.
- Software & Internet13143.1%
- Electronics & Hardware5417.8%
- Semiconductor3110.2%
- Finance & Insurance237.6%
- Telecom, Media & Digital Content134.3%
- Manufacturing124.0%
- Professional Services113.6%
- Healthcare & Biotech82.6%
- Wholesale, Retail & E-commerce82.6%
- Consulting & Marketing Services62.0%
- Construction & Real Estate41.3%
- Government & Nonprofit20.7%
- Taipei17256.6%
- New Taipei3411.2%
- Hsinchu County227.2%
- Hsinchu City216.9%
- Kaohsiung154.9%
- Taichung154.9%
- Taoyuan93.0%
- Miaoli62.0%
- Changhua41.3%
- Yunlin31.0%
- Hualien10.3%
- Tainan10.3%
Where this number is read from
Of the 304 postings, how many were found through the employer's own skill tags, the title, and the job description. A posting can carry more than one kind of evidence, so the three add up to more than the posting count.
- Employer's skill tags0
- Job title1
- Job description304