Azure and Pytorch frequently appear together in AI job postings, with 194 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $208K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Azure and Pytorch appear together in 194 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 Azure + Pytorch
AI/ML Engineer134 jobs
Data Scientist28 jobs
AI Software Engineer19 jobs
MLOps Engineer6 jobs
AI Architect2 jobs
AI Engineering Manager2 jobs
Career Impact
Professionals who combine Azure and Pytorch earn a median salary ceiling of
$208K, compared to $206K for Azure alone and
$229K for Pytorch alone. This 4% 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, 194 positions require both Azure and Pytorch skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Azure and Pytorch pay an average of $129K to $208K based on 143 postings with disclosed compensation.
Jobs requiring both Azure and Pytorch pay $208K on average (max), compared to $206K for Azure alone and $229K for Pytorch alone. That represents a 4% discount for having both skills.
The most common roles requiring both Azure and Pytorch are: AI/ML Engineer, Data Scientist, AI Software Engineer, MLOps Engineer. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 4,318 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of August 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
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Methodology
Skill co-occurrence data is derived from 194 job postings that list both Azure and Pytorch
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.
