Skill · Tools
ONNX
The cross-framework model exchange format.
- 2.4%
- of core AI postings mention it
- 85
- postings
- 72
- companies
- —
- 30-day change · from 2nd edition
Which roles ask for it
Share of each role's postings that mention this skill.
- 12 postings10.6%
- MLOps / Platform Engineer4 postings10.5%
- 6 postings4.9%
- 12 postings3.7%
- AI Researcher2 postings3.3%
- 42 postings2.4%
- 3 postings1.7%
- 2 postings0.7%
- 1 postings0.4%
Skills that appear with it
Share of the postings mentioning ONNX that also mention each skill.
- Languages91.8%
- Frameworks81.2%
- Tools67.1%
- Languages65.9%
- Frameworks62.4%
- Machine learning56.5%
- Machine learning56.5%
- Methods and process48.2%
- DevOps44.7%
- LLM applications42.4%
- Machine learning38.8%
- Machine learning37.6%
Industries and places
Share of this skill's postings.
- Software & Internet4552.9%
- Semiconductor1214.1%
- Electronics & Hardware1214.1%
- Professional Services55.9%
- Manufacturing44.7%
- Healthcare & Biotech33.5%
- Telecom, Media & Digital Content22.4%
- Government & Nonprofit22.4%
- Taipei3642.4%
- Hsinchu City1315.3%
- New Taipei1011.8%
- Hsinchu County910.6%
- Taoyuan78.2%
- Tainan33.5%
- Taichung33.5%
- Kaohsiung22.4%
- Changhua11.2%
- Yunlin11.2%
Where this number is read from
Of the 85 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 title0
- Job description85