Docker and Pytorch frequently appear together in AI job postings, with 114 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $204K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Docker and Pytorch appear together in 114 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 Docker + Pytorch
AI/ML Engineer79 jobs
Data Scientist16 jobs
AI Software Engineer9 jobs
MLOps Engineer4 jobs
Research Engineer2 jobs
AI Architect2 jobs
Career Impact
Professionals who combine Docker and Pytorch earn a median salary ceiling of
$204K, compared to $195K for Docker alone and
$222K for Pytorch alone. This 2% 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, 114 positions require both Docker and Pytorch skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Docker and Pytorch pay an average of $141K to $204K based on 82 postings with disclosed compensation.
Jobs requiring both Docker and Pytorch pay $204K on average (max), compared to $195K for Docker alone and $222K for Pytorch alone. That represents a 2% discount for having both skills.
The most common roles requiring both Docker 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 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 114 job postings that list both Docker 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.
