Llama and scikit-learn frequently appear together in AI job postings, with 68 current openings requiring both skills. The most common role for this combination is AI Product Manager. Jobs requiring both skills pay up to $246K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Llama and scikit-learn appear together in 68 current AI job postings, most commonly for AI Product Manager 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 Llama + scikit-learn
AI Product Manager60 jobs
AI/ML Engineer6 jobs
Data Scientist1 jobs
Prompt Engineer1 jobs
Career Impact
Professionals who combine Llama and scikit-learn earn a median salary ceiling of
$246K, compared to $237K for Llama alone and
$240K for scikit-learn 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, 68 positions require both Llama and scikit-learn skills. The most common role for this combination is AI Product Manager.
Jobs requiring both Llama and scikit-learn pay an average of $121K to $246K based on 64 postings with disclosed compensation.
Jobs requiring both Llama and scikit-learn pay $246K on average (max), compared to $237K for Llama alone and $240K for scikit-learn alone. That represents a 3% premium for having both skills.
The most common roles requiring both Llama and scikit-learn are: AI Product Manager, AI/ML Engineer, Data Scientist, Prompt Engineer. These positions typically involve building production AI systems that leverage both technologies.
Data Source: Analysis based on 1,969 AI job postings collected and verified by AI Market Pulse. Data reflects active job listings as of March 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 68 job postings that list both Llama and scikit-learn
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.