Machine Learning Developer Hiring Trends in Georgia

This report was last updated on Aug 30, 2025

Bence Gedai

Founder

I analyze live hiring data and tech job trends across Europe to give CTOs and Product Leaders a strategic edge. By tracking tens of thousands of open roles each week, I uncover which skills, roles, and locations are in highest demand — potential competitors, typical time to hire, talent pool sizes, and more to help you prioritize hiring, benchmark and stay competitive in a fast-moving market.

Key learnings from this report

The job market for Artificial Intelligence Machine Learning Engineers in Georgia is witnessing notable trends, with current job openings reflecting a peak of 4 postings in two separate weeks over the last 12 weeks.
Tbilisi emerges as the primary city for hiring Artificial Intelligence Engineers, accounting for 70% of available opportunities, indicating a strong centralization of tech talent in Georgia.
A significant 63% of job openings are targeted towards Mid-Senior level professionals, suggesting that recruitment strategies must be aligned to attract this experienced talent pool effectively.
Georgia's tech sector exhibits a favorable hiring environment for Artificial Intelligence Machine Learning Engineers, with a competitive landscape offering a favorable talent pool size relative to job openings.
The median time to hire for Artificial Intelligence Engineers in Georgia stands at 40 days, emphasizing the necessity for CTOs and recruiters to adopt proactive recruitment strategies to secure top talent efficiently.

Number of roles opened and closed for Machine Learning Engineers in Georgia in the last 3 months

In Georgia's tech sector, the demand for Artificial Intelligence Machine Learning Engineers reflects dynamic recruitment trends. Over the past 12 weeks, the weekly job postings for these roles reached a peak of 4 positions in two separate weeks, indicating a growing interest from employers. However, a significant fluctuation is noted in job closures, with 9 roles closed in a single week, suggesting a competitive market landscape. When compared to other European countries, the employment activity showcases unique conditions, necessitating tailored recruitment strategies for CTOs aiming to capitalize on the emerging talent pool in Georgia.

Who else is hiring for ai Engineers in Georgia:

Company name	Country	Industry	Founded	# Job openings
EPAM Systems	United States	Information Technology & Services	1993	17
Trilogy	United States	Information Technology & Services	1989	2
Coherent Solutions Romania	null	null	null	2
Tabby	Saudi Arabia	Financial Services	2019	1
Canonical	United Kingdom	Information Technology & Services	2004	1
Lineate	null	null	null	1
Gamingtec	United Kingdom	Gambling & Casinos	2013	1
Space International	Georgia	Financial Services	2018	1
Sheladia Associates, Inc.	null	null	null	1
IDT Corporation	United States	Telecommunications	1990	1

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Talent pool vs job openings for Artificial Intelligence Engineers in Georgia

How competitive it is to hire Artificial Intelligence Engineers in Georgia

The job market for Artificial Intelligence Machine Learning Engineers in Georgia presents a nuanced landscape when compared to neighboring European countries. With a current count of job openings being significantly outpaced by the available talent pool, the ratio in Georgia indicates a relatively favorable hiring environment. For instance, while Georgia shows a promising ratio for roles in this domain, countries like Poland, Germany, and the Netherlands exhibit tighter markets with fewer available candidates per job opening. This disparity suggests that hiring managers in Georgia may encounter less competition for top talent, making the recruitment of skilled candidates in the Artificial Intelligence Machine Learning field more achievable compared to the more congested job markets seen in these other European nations.

Seniority distribution of Machine Learning Engineer job openings in Georgia

Seniority Distribution of Machine Learning Engineering Jobs in Georgia

In the current job market for Artificial Intelligence Machine Learning Engineers in Georgia, the seniority distribution reveals a significant demand for Mid-Senior level professionals, who comprise 63% of the available positions. This is followed by Associate roles at 16% and Entry level positions at 11%. Such insights into hiring trends can guide CTOs and recruiters in developing targeted recruitment strategies to attract the right talent in Georgia's tech sector.

Preferred employment type for Engineering roles in Georgia

In Georgia's tech sector, the employment distribution for engineering roles indicates a strong preference for full-time positions, which represent 96% of the total job market. Contract roles account for a mere 4%, while part-time positions and internships contribute only 2% and approximately 2%, respectively. This data underscores the prevailing trend of employers seeking stable, long-term employment relationships in the rapidly evolving field of Artificial Intelligence and Machine Learning.

Time to Hire Distribution for Artificial Intelligence in Georgia

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence Machine Learning Engineers in Georgia indicates a significant variation in hiring timelines, with the majority of candidates being sourced within the 30 to 40-day range. Notably, 22 positions fall within the 30-day mark, highlighting the urgency in recruitment for this rapidly evolving sector. Additionally, there is a considerable drop off in hiring efficiency beyond 40 days, as evidenced by the count of hires tapering off to just 1 candidate at both the 65-day and 95-day marks. For CTOs and recruiters targeting the Artificial Intelligence Machine Learning job market in Georgia, these insights suggest that a proactive recruitment strategy may be essential to maintain a competitive edge amid ongoing demand.

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Most popular cities in Georgia to hire Artificial Intelligence Engineers

Top 5 cities in Georgia to hire Artificial Intelligence Engineers

In Georgia, the distribution of job openings for Artificial Intelligence Engineers is notably concentrated in Tbilisi, which accounts for 70% of the total opportunities available. The broader region of Georgia contributes 27% to the count, while remote positions offer a modest 4%. These figures underscore Tbilisi's prominence as a central hub for Artificial Intelligence Machine Learning roles, as illustrated in the accompanying chart.

Most sought after technologies in Georgia for Machine Learning

Key technologies for Machine Learning Engineers

In the rapidly evolving landscape of the Artificial Intelligence Machine Learning job market in Georgia, several technologies emerge as pivotal to hiring strategies for CTOs and other tech leads. Python stands out as the most frequently utilized language, with a remarkable frequency of 5,250, followed by Machine Learning at 3,135. Other notable technologies include SQL, essential for data manipulation at a frequency of 2,006, and Data Science, which boasts a high frequency of 1,214, reflecting its importance in AI applications. Additionally, AWS and Data Engineering are integral, with frequencies of 699 and 661, respectively. For an in-depth look at these statistics, please refer to the accompanying chart.

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