Fine-tuning and SageMaker frequently appear together in AI job postings, with 28 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $190K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Fine-tuning and SageMaker appear together in 28 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 Fine-tuning + SageMaker
AI/ML Engineer19 jobs
Research Scientist5 jobs
AI Software Engineer1 jobs
Data Scientist1 jobs
RAG Engineer1 jobs
Prompt Engineer1 jobs
Career Impact
Professionals who combine Fine-tuning and SageMaker earn a median salary ceiling of
$190K, compared to $228K for Fine-tuning alone and
$201K for SageMaker alone. This 11% discount
reflects roles requiring both skills tend to be more common mid-level positions, while single-skill roles may skew toward senior or specialized positions with higher pay ceilings.
Based on our analysis of current AI job postings, 28 positions require both Fine-tuning and SageMaker skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Fine-tuning and SageMaker pay an average of $127K to $190K based on 24 postings with disclosed compensation.
Jobs requiring both Fine-tuning and SageMaker pay $190K on average (max), compared to $228K for Fine-tuning alone and $201K for SageMaker alone. That represents a 11% discount for having both skills.
The most common roles requiring both Fine-tuning and SageMaker are: AI/ML Engineer, Research Scientist, AI Software Engineer, Data Scientist. 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 28 job postings that list both Fine-tuning and SageMaker
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.
