Software Engineer Machine Learning
13 760 652 ₸ (KZT)/yr
6 615,70 ₸ (KZT)/hr
631 614 ₸ (KZT)/yr
The average software engineer machine learning gross salary in Kazakhstan is 13 760 652 ₸ or an equivalent hourly rate of 6 616 ₸. In addition, they earn an average bonus of 631 614 ₸. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Kazakhstan. An entry level software engineer machine learning (1-3 years of experience) earns an average salary of 9 743 347 ₸. On the other end, a senior level software engineer machine learning (8+ years of experience) earns an average salary of 15 945 200 ₸.
DO YOU WORK IN HR OR COMPENSATION?
Try our professional compensation
software to generate detailed salary
and cost of living reports.
23 050 370 ₸ (KZT)
68 %
Based on our compensation data, the estimated salary potential for Software Engineer Machine Learning will increase 68 % 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 salaryCost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageKazakhstan, officially the Republic of Kazakhstan, is a landlocked country situated primarily in Central Asia, with a portion of its territory extending into Eastern Europe. It borders Russia to the north and west, China to the east, Kyrgyzstan to the southeast, Uzbekistan to the south, and Turkmenistan to the southwest, and it has a coastline along the Caspian Sea. The capital is Astana and the country's largest city and principal cultural and economic center is Almaty, which served as the capi
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.
Learn About Our Products
How Much Should You Be Paid?
