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In recent weeks, the job market for Machine Learning Engineers in Armenia has demonstrated fluctuating activity, particularly highlighted by a surge of 6 job postings in week 5. However, this was followed by a decline, with only 2 postings in week 6 and week 8, indicating potential volatility in the recruitment landscape. Over the 12-week period, job closures also presented challenges, peaking at 5 closed positions in weeks 10 and 13. Compared to broader European trends, where the volume of Machine Learning job postings can reach upwards of 2980 in a single week, Armenia’s market remains relatively small, suggesting that hiring managers must develop strategic recruitment approaches to attract talent amidst rising competition in the tech sector.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
IQVIA | United States | Hospital & Health Care | 1954 | 2 |
In the competitive landscape of the Machine Learning Engineers job market in Europe, the dynamics reveal notable trends, particularly in Germany, the Netherlands, and the United Kingdom showcase more balanced ratios, indicative of a comparatively easier hiring climate. The future demand for Machine Learning Engineers in Armenia is poised to grow, but hiring managers may need to employ strategic recruitment methodologies to attract talent amidst the challenge. This presents an opportune moment for CTOs and team leads in Armenia's tech sector to innovate their recruitment strategies to effectively tap into the emerging Machine Learning Developer opportunities.
In Armenia's Machine Learning job market, the seniority distribution reveals a strong presence of Mid-Senior level positions, accounting for 61% of the total jobs available. Entry-level roles constitute 26%, while Associate positions make up 9%. This distribution may signal a ripe opportunity for hiring managers seeking to fill mid-level positions while considering entry-level talent to foster future growth in the tech sector.
In the Armenian job market for engineering roles, the majority of positions are classified as Full-time, accounting for 96% of the available jobs. Contract roles represent a small fraction, making up just 4% of the employment types. This distribution highlights the preference for stable, long-term positions in Armenia's tech sector, particularly in core areas like Machine Learning.
The time to hire for Machine Learning Engineer positions in Armenia shows a notable distribution that hiring managers should consider when strategizing for talent acquisition. The majority of hires occur within a range of 35 to 50 days, with 10 candidates hired at 35 days and 9 at 50 days, indicating a competitive landscape for Machine Learning job market opportunities. Additionally, 4 candidates were successfully placed in just 10 days, suggesting a potential for rapid recruitment. However, longer hiring times over 60 days are less common, with only 4 hires at the 60-day mark. This data highlights the urgency and strategic approach required by CTOs and recruiters in Armenia's tech sector to secure top Machine Learning talent efficiently.
The Machine Learning Engineers job market in Armenia reflects a dynamic landscape with distinct trends crucial for hiring managers and CTOs.
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The Machine Learning Engineers job market in Lithuania has shown significant fluctuations over the past three months, with a notable demand spike in week 5 leading to 48 new positions, contrasted by a decline to just one posting by week 14.
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The Machine Learning job market in Luxembourg has shown significant fluctuations over the past three months, with a total of 31 new roles posted in week 7, while 28 positions were closed shortly thereafter, indicating a highly dynamic and competitive recruitment landscape.
View ReportIn Armenia's job market for Machine Learning Engineers, Yerevan emerges as the leading city, accounting for 46% of the total job openings. This is closely followed by Pereira, which also represents 46% of the opportunities. Additionally, the Armenia Metropolitan Area contributes 12% to the overall distribution. Please refer to the attached chart for a visual representation of these data points.
The Machine Learning job market, particularly in Armenia, showcases a diverse range of technologies that are increasingly in demand. Notably, Python stands out as the most frequently utilized programming language, with a usage frequency of 18,881. Following closely are SQL and Machine Learning itself, with frequencies of 8,292 and 10,850, respectively. Additionally, AWS, crucial for cloud-based solutions, ranks high with a frequency of 2,002, reflecting the trend towards cloud technologies in machine learning roles. These trends are further illustrated in the accompanying chart, highlighting the significance of these tools for Machine Learning Engineer opportunities in Armenia.
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