ML VP

53 484 € (EUR)/yr

25,71 € (EUR)/hr

9 916 € (EUR)/yr

The average ml vp gross salary in Lithuania is 53 484 € or an equivalent hourly rate of 26 €. In addition, they earn an average bonus of 9 916 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Lithuania. An entry level ml vp (1-3 years of experience) earns an average salary of 36 964 €. On the other end, a senior level ml vp (8+ years of experience) earns an average salary of 67 075 €.

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Salary Potential

69 782 € (EUR)

30 %

Based on our compensation data, the estimated salary potential for ML VP will increase 30 % over 5 years.

Education

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Country Overview

Lithuania

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

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Lithuania, officially the Republic of Lithuania, is a country in the Baltic region of Europe. It is one of three Baltic states and lies on the eastern shore of the Baltic Sea, bordered by Latvia to the north, Belarus to the east and south, Poland to the south, and the Russian semi-exclave of Kaliningrad Oblast to the southwest, with a maritime border with Sweden to the west. Lithuania covers an area of 65,300 km2 (25,200 sq mi), and has a population of 2.9 million. Its capital and largest city i

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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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