Fine-tuning and GCP frequently appear together in AI job postings, with 116 current openings requiring both skills. The most common role for this combination is AI Product Manager. Jobs requiring both skills pay up to $241K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Deploying LLM applications in production requires both Fine-tuning expertise and GCP infrastructure skills. GCP provides the compute, scaling, and serving layer, while Fine-tuning handles the AI application logic. The 116 roles listing both reflect the growing need for engineers who can bridge AI development and cloud operations.
Top Roles Requiring Fine-tuning + GCP
AI Product Manager60 jobs
AI/ML Engineer33 jobs
Prompt Engineer11 jobs
AI Software Engineer4 jobs
MLOps Engineer3 jobs
Data Engineer2 jobs
Career Impact
Professionals who combine Fine-tuning and GCP earn a median salary ceiling of
$241K, compared to $228K for Fine-tuning alone and
$230K for GCP alone. This 5% premium
reflects the market values the integration of these two skills — employers pay more for candidates who can work across both rather than hiring separate specialists.
Based on our analysis of current AI job postings, 116 positions require both Fine-tuning and GCP skills. The most common role for this combination is AI Product Manager.
Jobs requiring both Fine-tuning and GCP pay an average of $134K to $241K based on 95 postings with disclosed compensation.
Jobs requiring both Fine-tuning and GCP pay $241K on average (max), compared to $228K for Fine-tuning alone and $230K for GCP alone. That represents a 5% premium for having both skills.
The most common roles requiring both Fine-tuning and GCP are: AI Product Manager, AI/ML Engineer, Prompt Engineer, AI Software 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 116 job postings that list both Fine-tuning and GCP
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.
