Keras and Semantic Kernel frequently appear together in AI job postings, with 72 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $198K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Keras and Semantic Kernel appear together in 72 current AI job postings, most commonly for AI/ML Engineer positions. This combination signals that employers are looking for versatile engineers who can work across multiple layers of the AI stack. Companies hiring for this pair tend to value candidates who can bridge different technical domains rather than specialize in just one.
Top Roles Requiring Keras + Semantic Kernel
AI/ML Engineer71 jobs
Data Scientist1 jobs
Career Impact
Professionals who combine Keras and Semantic Kernel earn a median salary ceiling of
$198K, compared to $197K for Keras alone and
$203K for Semantic Kernel alone. This 1% discount
reflects the salary ceiling is roughly equivalent whether you specialize in one skill or combine both, suggesting the market values either path equally.
Based on our analysis of current AI job postings, 72 positions require both Keras and Semantic Kernel skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Keras and Semantic Kernel pay an average of $115K to $198K based on 2 postings with disclosed compensation.
Jobs requiring both Keras and Semantic Kernel pay $198K on average (max), compared to $197K for Keras alone and $203K for Semantic Kernel alone. That represents a 1% discount for having both skills.
The most common roles requiring both Keras and Semantic Kernel are: AI/ML Engineer, Data Scientist. These positions typically involve building production AI systems that leverage both technologies.
Data Source: Analysis based on 16,778 AI job postings collected and verified by AI Market Pulse. Data reflects active job listings as of February 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
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Skill co-occurrence data is derived from 72 job postings that list both Keras and Semantic Kernel
as required or preferred skills. Salary data includes only postings with disclosed compensation ranges.
Data is updated weekly from major job boards and company career pages.
