Artificial Intelligence Infrastructure Engineer
12 809 405 Ft (HUF)/yr
6 158,37 Ft (HUF)/hr
212 636 Ft (HUF)/yr
The average artificial intelligence infrastructure engineer gross salary in Budapest, Hungary is 12 809 405 Ft or an equivalent hourly rate of 6 158 Ft. This is 4% higher (+490 546 Ft) than the average artificial intelligence infrastructure engineer salary in Hungary. In addition, they earn an average bonus of 212 636 Ft. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Budapest, Hungary. An entry level artificial intelligence infrastructure engineer (1-3 years of experience) earns an average salary of 9 225 677 Ft. On the other end, a senior level artificial intelligence infrastructure engineer (8+ years of experience) earns an average salary of 14 504 330 Ft.
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17 587 928 Ft (HUF)
37 %
Based on our compensation data, the estimated salary potential for Artificial Intelligence Infrastructure Engineer will increase 37 % over 5 years.
This chart displays the highest level of education for:
Artificial Intelligence Infrastructure Engineer, the majority at 100% with bachelors.
Typical Field of Study: Computer Support Specialist Training
See how education can impact your salaryThe cost of living in Budapest, Hungary is 7% more than the average cost of living in Hungary. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageBudapest is the capital and most populous city of Hungary. It is Hungary's primate city with 1.7 million inhabitants and its greater metro area has a population of about 3.3 million, representing one-third of the country's population and producing above 40% of the country's economic output. Budapest is the political, economic, and cultural center of the country, among the ten largest cities in the European Union and the second largest urban area in Central and Eastern Europe. Budapest stands on
Sourced from WikipediaERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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