In recent years, Latin America has emerged as a significant player in the global technology landscape, particularly in the field of artificial intelligence (AI). Countries like Colombia and Argentina have developed robust tech ecosystems, making cities such as Bogota and Buenos Aires attractive destinations for hiring machine learning engineers. This blog provides a comprehensive comparison between Bogota and Buenos Aires, focusing on key factors that influence the decision-making process for companies looking to hire AI talent.
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Hire Machine Learning Engineers in Bogota vs Buenos Aires
When looking to hire machine learning engineers in Latin America, Bogota and Buenos Aires stand out as two of the most attractive options. Both cities offer highly skilled talent, competitive costs, and growing technology ecosystems. However, there are key differences that can influence the final decision. The following chart provides a visual comparison of these factors.
Below, we will analyze five fundamental aspects to determine which of these cities is the best option to hire Machine Learning Engineers: hiring cost, time zone alignment with the U.S., English level, technological growth and educational infrastructure.
Cost of hiring Machine Learning Engineers
One of the most important factors when choosing a location to hire AI talent is cost-effectiveness. Latin America offers a competitive advantage in terms of cost, while providing highly skilled professionals. Below is a comparison of salary ranges in Bogota and Buenos Aires:
Bogota: The average monthly salary for a machine learning engineer in Colombia is approximately $3,750 per month to $6,250, it may vary depending on the area and level of experience of the engineer.
Buenos Aires: In Buenos Aires salaries are lower, hiring a machine learning engineer can cost from $3,125 to $5,000 per month.
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Time Zone Alignment with U.S. Companies
When you hire machine learning engineers, time zone alignment is crucial for collaboration, meeting deadlines and ensuring smooth communication with the U.S.-based teams.
Bogota: Operates on Colombian Time (COT), which is UTC-5, the same as Eastern Standard Time (EST) in the United States. This makes Bogota an ideal choice for companies on the East Coast of the United States, as engineers can work in real-time with teams in Miami or New York. In San Francisco (Pacific Standard Time, UTC-8), there is a 3-hour difference during winter and a 4-hour difference during daylight saving time.
Buenos Aires: Follows Argentina Time (ART), which is UTC-3, which is 2 hours ahead of EST (Miami) and 5 hours ahead of PST (San Francisco) in winter. During US Daylight Saving Time (March through November), Buenos Aires is only 1 hour ahead of EST.
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English Proficiency
For companies looking to hire remote AI engineers, English proficiency is a critical factor in ensuring clear communication and seamless collaboration with international teams. Here’s how Bogota and Buenos Aires compare:
Bogota: Colombia ranks 74th out of 116 countries on EF's English Proficiency Index (EPI), with an overall score of 485. Within Latin America, Colombia ranks 17th out of 21 countries, indicating a moderate level of English proficiency among professionals. However, Bogota scores slightly higher (513) than the national average, reflecting better English skills in the capital.
Buenos Aires: Argentina leads Latin America in English proficiency, ranking 28th in the world with an EF EPI score of 562. It ranks 2nd in Latin America, making it one of the most English proficient countries in the region. The capital, Buenos Aires, does even better with a score of 584, ensuring a higher level of English fluency among its workforce.
Technological Growth
If you're looking to hire machine learning engineers, Bogota and Buenos Aires stand out as top destinations. With strong tech ecosystems, skilled talent, and growing investment in AI, these cities offer ideal conditions for building high-performing teams.
Bogota: Bogota has received strong investment in its technology sector, driven by initiatives such as the Ministry of Science, Technology and Innovation, which is fostering an ever-growing ecosystem. The capital concentrates 60% of the investment in startups in the country, with a total of $267 million, 45% of which has been allocated to the fintech sector. Over the past decade, more than 1,000 companies have set up shop in Bogota, attracted by the high level of talent available in the city.
Buenos Aires: The city has a strong technology ecosystem and is home to major companies such as Google, Amazon and Mercado Libre. Its startup ecosystem ranks 74th in the world and first in Argentina. In addition, ten of the city's universities have been included in the 2024 QS World University Rankings. With a high level of English fluency, Buenos Aires is consolidating its position as a key center for technology outsourcing.
Educational Infrastructure
When evaluating the educational infrastructure for AI and engineering talent, both Bogota and Buenos Aires host prestigious institutions that contribute significantly to their respective tech ecosystems.
Bogota: In Bogota, the National University of Colombia is an outstanding institution that offers a wide range of engineering and technology programs. It is ranked 219 in the QS World University Rankings and is one of the best universities in the world. Another outstanding institution is the University of the Andes, which is also recognized for its excellence in higher education in the QS rankings at 179.
Buenos Aires: In Buenos Aires is the University of Buenos Aires, which is ranked 71st in the world. UBA is known for its extensive engineering and technology programs. In addition, the National Technological University (UTN) is a key player in Argentina's technical education landscape, contributing to the city's pool of qualified engineering graduates.
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Beyond price transparency, Teilur Talent simplifies global hiring by managing payroll, contract compliance, and employee benefits. Companies can pay monthly via ACH, while Teilur Talent handles all administrative and legal details. Whether hiring in Bogota or Buenos Aires, companies can access top machine learning talent seamlessly and at competitive rates.
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FAQ
How much does it cost to hire an AI engineer?
The cost varies by location and experience. In Bogota, the average salary for a machine learning engineer is approximately $3,750 per month to $6,250, while in Buenos Aires, it's around $3,125 to $5,000 per month.
How do I hire Machine Learning Engineers?
To hire machine learning engineers, define the specific skills and experience required for your project. Utilize professional networks, job platforms, and consider partnering with recruitment agencies specializing in tech talent.
Where can I hire machine learning engineers?
Machine learning engineers can be found through various channels, including online job boards, professional networking sites, university career centers, and tech-focused recruitment agencies. Attending industry conferences and meetups can also help in connecting with potential candidates.
Conclusion
Choosing between Bogota and Buenos Aires to hire machine learning engineers depends on cost, time zone alignment, English proficiency, and tech industry maturity. Bogota offers lower salaries and strong U.S. Eastern Time alignment, making collaboration easier, while its growing tech ecosystem and reputable universities provide skilled AI talent at competitive rates. In contrast, Buenos Aires boasts higher English proficiency, a well-established tech industry, and access to top universities like UBA and UTN, making it ideal for companies prioritizing communication and experienced talent. The best choice depends on whether cost efficiency or a mature AI ecosystem is your priority.
To help you make the best decision, use our cost calculator to estimate your expenses and potential savings. For more details and a personalized recruitment consultation, please contact us.
