Artificial Intelligence Developer

89 811 € (EUR)/yr

43,18 € (EUR)/hr

4 122 € (EUR)/yr

The average artificial intelligence developer gross salary in Finland is 89 811 € or an equivalent hourly rate of 43 €. In addition, they earn an average bonus of 4 122 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Finland. An entry level artificial intelligence developer (1-3 years of experience) earns an average salary of 62 748 €. On the other end, a senior level artificial intelligence developer (8+ years of experience) earns an average salary of 99 270 €.

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Salary Potential

100 286 € (EUR)

12 %

Based on our compensation data, the estimated salary potential for Artificial Intelligence Developer will increase 12 % over 5 years.

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Country Overview

Finland

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

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Finland, or the Republic of Finland, is a Nordic country in Northern Europe. It borders Sweden to the northwest, Norway to the north, and Russia to the east, with the Gulf of Bothnia to the west and the Gulf of Finland to the south, opposite Estonia. Its capital and largest city is Helsinki. Finland has a population of 5.7 million. The official languages are Finnish and Swedish, the mother tongues of 83.5 percent and 5.0 percent of the population, respectively. Finland's climate varies from humi

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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
Designs, develops, and implements AI-powered software that solves real business problems. Incorporates machine learning (including large language models/LLMs) into scalable applications, owns data/model pipelines end-to-end, and partners with product, security, and platform teams to deliver measurable outcomes in production.
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