Software Engineer Machine Learning
3.701.125 дин. (RSD)/yr
1.779,39 дин. (RSD)/hr
169.882 дин. (RSD)/yr
The average software engineer machine learning gross salary in Subotica, Serbia is 3.701.125 дин. or an equivalent hourly rate of 1.779 дин.. This is 10% lower (-401.765 дин.) than the average software engineer machine learning salary in Serbia. In addition, they earn an average bonus of 169.882 дин.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Subotica, Serbia. An entry level software engineer machine learning (1-3 years of experience) earns an average salary of 2.676.214 дин.. On the other end, a senior level software engineer machine learning (8+ years of experience) earns an average salary of 4.349.740 дин..
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5.438.166 дин. (RSD)
47 %
Based on our compensation data, the estimated salary potential for Software Engineer Machine Learning will increase 47 % over 5 years.
This chart displays the highest level of education for:
Software Engineer Machine Learning, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe cost of living in Subotica, Serbia is 9% less than the average cost of living in Serbia. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageSubotica (Serbian Cyrillic: Суботица, pronounced [sǔbotitsa] ; Hungarian: Szabadka, pronounced [ˈsɒbɒtkɒ]) is a city in Central Europe and the administrative center of the North Bačka District in the autonomous province of Vojvodina, Serbia. Formerly the largest city of Vojvodina region, contemporary Subotica is now the second largest city in the province, following the city of Novi Sad. According to the 2022 census, the city proper has a population of 88,752, while the population of the adminis
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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