Skill Demand Index
Based on 2 scored job postings out of 2,412 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.1%
Demand Rate
L2
Median Depth
50%
Gap Rate
2
Jobs Analyzed
Minimal
Most employers want AI/ML Expertise at introductory awareness.
Overview
Market context for AI/ML Expertise in the current job market
AI/ML Expertise is required in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for AI/ML Expertise typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for AI/ML Expertise:
What L2 means in practice:
L1 (Minimal) means you can discuss the concept but haven’t used it in production. Many entry-level positions accept this.
This means employers aren't looking for someone who has used AI/ML Expertise once or twice. They want evidence of professional application — shipped work, measurable outcomes, and the ability to operate independently.
Common skill gaps:
The gap rate of 50% means most applicants lack AI/ML Expertise at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.
Which roles need AI/ML Expertise most:
Other positions drive 50% of demand. Data Science / ML also frequently list AI/ML Expertise as a requirement. Skills commonly paired with AI/ML Expertise include E-commerce SaaS Platforms/Shopify Ecosystem and Startup Experience.
Depth Level Distribution
How candidates match AI/ML Expertise requirements across 2 scored evaluations
Average depth: L1.5·Median depth: L1.5
Salary Correlation
How AI/ML Expertise affects compensation based on postings with disclosed salary data
Without AI/ML Expertise
$137K
Median $130K
450 jobs
Skill Demand Insight
“AI/ML Expertise appears in 0.1% of all scored jobs.”
From 2 scored job postings
Skill Pairings
Other skills that frequently appear alongside AI/ML Expertise
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
Role Breakdown
Job categories most likely to require AI/ML Expertise
Gap Analysis
How often AI/ML Expertise is identified as a skill gap (L0–L1) in scored applications
Moderate gap rate — many candidates lack this skill
When AI/ML Expertise appears in a job's requirements, 50% of scored applicants received an L0 or L1 (missing or minimal).
Yes. AI/ML Expertise appears in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 2 analyzed jobs, demand is steady across multiple role types.
The median required depth is L2. Many positions accept basic to intermediate proficiency.
Salary data for AI/ML Expertise is still accumulating.
The most common pairings are E-commerce SaaS Platforms/Shopify Ecosystem, Startup Experience, Full-Stack Engineering Skills, Product Ingestion/Image Recognition/Trend-Tracking, Fashion Merchandising/Retail Tech. Strengthening these alongside AI/ML Expertise improves your fit across more positions.
Top roles: Other, Data Science / ML. Other positions have the highest demand at 50% of all AI/ML Expertise jobs.
L1→L2: online courses and personal projects. L2→L3: daily professional use and shipped work. L3→L4: mentoring others and optimizing processes. L4→L5: architecture decisions, open source contributions, or published work.
See how you stack up against AI/ML Expertise job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my AI/ML Expertise gaps →See how your depth compares to what employers actually require
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