ML VP

20 805 312 Ft (HUF)/yr

10 002,55 Ft (HUF)/hr

3 857 305 Ft (HUF)/yr

The average ml vp gross salary in Hungary is 20 805 312 Ft or an equivalent hourly rate of 10 003 Ft. In addition, they earn an average bonus of 3 857 305 Ft. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Hungary. An entry level ml vp (1-3 years of experience) earns an average salary of 14 327 512 Ft. On the other end, a senior level ml vp (8+ years of experience) earns an average salary of 26 008 615 Ft.

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Salary Potential

28 647 219 Ft (HUF)

38 %

Based on our compensation data, the estimated salary potential for ML VP will increase 38 % over 5 years.

Education

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Country Overview

Hungary

Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

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Hungary is a landlocked country in Central Europe. Spanning much of the Carpathian Basin, it is bordered by Slovakia to the north, Ukraine to the northeast, Romania to the east and southeast, Serbia to the south, Croatia and Slovenia to the southwest, and Austria to the west. Hungary lies within the drainage basin of the Danube River and is dominated by great lowland plains. It has a population of 9.6 million, consisting mostly of ethnic Hungarians (Magyars) and a significant Romani minority. Hu

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Disclaimer
This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.

ERI'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.

Job Description
Champions the strategic development and operational integration of machine learning solutions across business functions. Oversees teams responsible for model design, deployment, and maintenance, ensuring scalability and reliability. Incorporates machine learning initiatives into organizational goals, identifying opportunities for data-driven transformation. Establishes technical standards, governance practices, and performance benchmarks for modeling workflows. Advises executive leadership on emerging trends, resource planning, and cross-functional... integration of predictive systems.Read More
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