VP Machine Learning

276.733 RON (RON)/yr

133,04 RON (RON)/hr

51.306 RON (RON)/yr

The average vp machine learning gross salary in Romania is 276.733 RON or an equivalent hourly rate of 133 RON. In addition, they earn an average bonus of 51.306 RON. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Romania. An entry level vp machine learning (1-3 years of experience) earns an average salary of 191.127 RON. On the other end, a senior level vp machine learning (8+ years of experience) earns an average salary of 349.682 RON.

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Salary Potential

411.011 RON (RON)

49 %

Based on our compensation data, the estimated salary potential for VP Machine Learning will increase 49 % over 5 years.

Education

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Country Overview

Romania

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

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Romania is a country in Southeast and Central Europe. It lies on the lower course of the Danube, north of the Balkan Peninsula, and on the northwestern shore of the Black Sea. It borders Ukraine to the north and east, Hungary to the west, Serbia to the southwest, Bulgaria to the south, Moldova to the east, and the Black Sea to the southeast. It is the twelfth-largest country in Europe by area, covering 238,397 km2 (92,046 mi2), and the sixth-most populous member state of the European Union, wi

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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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