Power Bi and Pytorch frequently appear together in AI job postings, with 34 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $200K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Power Bi and Pytorch appear together in 34 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 Power Bi + Pytorch
AI/ML Engineer21 jobs
Data Scientist11 jobs
AI Software Engineer1 jobs
Data Engineer1 jobs
Career Impact
Professionals who combine Power Bi and Pytorch earn a median salary ceiling of
$200K, compared to $169K for Power Bi alone and
$222K for Pytorch alone. This 3% premium
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, 34 positions require both Power Bi and Pytorch skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Power Bi and Pytorch pay an average of $95K to $200K based on 25 postings with disclosed compensation.
Jobs requiring both Power Bi and Pytorch pay $200K on average (max), compared to $169K for Power Bi alone and $222K for Pytorch alone. That represents a 3% premium for having both skills.
The most common roles requiring both Power Bi and Pytorch are: AI/ML Engineer, Data Scientist, AI Software Engineer, Data Engineer. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 3,708 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of July 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 34 job postings that list both Power Bi 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.
