AI/ML Engineer
AI/ML Engineers build and deploy machine learning models, create ML pipelines, and productionize AI systems for real-world applications.
AI/ML Engineer has an AI risk score of 15/100 (Low Risk). The median salary is $160,000 with 100,000 people employed. The safest transition path is ML Research Scientist with a risk score of 12/100.
Safer than 96% of jobs in our database
How we calculate this score →Strong pivot potential — many safe, transferable career paths available.
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Recommended Courses
Start your transition today with these courses
Machine Learning Specialization
Stanford/Coursera
Skills You'll Learn
MLOps Specialization
DeepLearning.AI
Skills You'll Learn
Data Science Professional Certificate
IBM
Skills You'll Learn
Job Market Data
Real trends from multiple job platforms
Listing Trends
Career Outlook
Why this is a strong career choice
Why This Career Is AI-Resistant
Building AI requires human AI engineers
Demand growing 50%+ annually
Complex systems need human oversight
Novel problems require creative solutions
Strong choice for career changers
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Career Transitions
Safe career paths based on your existing skills
ML Research Scientist
12%Skills to Learn
Your first step
Look up a free Research Methods course or tutorial — one evening is enough to know if this path fits you.
AI Lead
10%Skills to Learn
Your first step
Look up a free Team Leadership course or tutorial — one evening is enough to know if this path fits you.
DevOps Engineer
23%Skills to Learn
Your first step
Look up a free CI/CD course or tutorial — one evening is enough to know if this path fits you.
Need help making the switch?
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