Mexico is becoming one of the leading destinations for hiring top-level talent in artificial intelligence and machine learning. With a robust education system, strategic geographic location, and growing technology ecosystem, Mexico offers numerous advantages for companies looking to hire AI software engineers.
Teilur Talent has an excellent multi-year talent retention rate, ensuring that the AI/ML engineers you hire remain committed to your projects.
Background check
We perform a background check; our rigorous background checks ensure that every AI/ML engineer we hire is highly qualified and trustworthy.
Seamless payments
We handle all payments through Deel, a global contracting and payment provider, so there are no issues with transactions and compliance with international regulations.
Transparent prices
Teilur Talent stands out for its commitment to transparency; we only charge a 20% commission, ensuring you receive a top-quality service with no hidden charges.
Why hire in Mexico?
Government support
The Mexican government actively promotes the IT industry through initiatives such as technology parks and innovation centers. Programs like PROSOFT support the growth of new technology companies and the development of digital skills, fostering an environment conducive to technological advances.
Location close to the US
Mexico's proximity to the United States offers a significant advantage for companies hiring machine learning developers. Because they are so close, they manage similar schedules, facilitating easier collaboration and improving productivity and communication.
Highly qualified talent pool
With over 130,000 engineers graduating annually from top universities such as the Instituto Tecnológico de Monterrey and the National Autonomous University of Mexico, Mexico has a large group of highly trained AI/ML engineers. The abundance of talent makes it easier to find specialized skills and experience.
Competitive salaries
Hiring AI/ML engineers in Mexico is cost-effective due to the lower cost of living compared to the United States. This lowers salaries, allowing companies to maximize their budgets without compromising talent quality. It also makes Mexico a profitable option for expanding technological equipment.
IT centers
Guadalajara, Mexico City, and Monterrey are recognized as essential IT hubs with thriving technology ecosystems. These cities are home to numerous IT companies, research institutions, and educational centers, providing an environment for innovation and collaboration.
Educational excellence
Universities in Mexico offer computer science and engineering programs, ensuring a continuous supply of well-trained AI/ML engineers. Institutions such as the Monterrey Institute of Technology rank highly for their performance in software engineering research, contributing to the country's growing reputation as a technology leader.
Azure DevOps roles we supports in Latin America
All AzureDevOps Developers in our network are pre-vetted professionals experienced indeveloping, implementing, and maintaining pipelines, scripts, and automationtools using Azure DevOps suite. Our network has expertise with the following roles and skills:
AzureDevOps Admin:
Expert in managing full application lifecycle: development, testing, deployment, and operations.
Pipelines Developer:
Expert indesigning and implementing CI/CD pipelines using Azure Pipelines.
AzureBoards Specialist:
Capable ofmanaging projects and tracking work with Azure Boards.
Repos Specialist:
Experiencein code versioning management with Git and TFVC.
Hire AI/ML Software Engineers in Mexico with Teilur Talent
Hiring AI/ML software engineers in Mexico provides an advantage for companies; Mexico offers a diverse pool of talent experts in AI and machine learning. Teilur Talent simplifies the hiring process through Deel with transparent pricing and rigorous background checks. This combination of local talent and efficient hiring practices makes hiring AI/ML engineers in Mexico easy.
Transparent pricing
No MSAs to get started
No minimum commitments
Cost of AI/ML Software Engineers
We're committed to clarity in our margins, ensuring they never exceed 20% of the specialist's payment.
Need help with cost expectations?
Our hiring costs vary depending on the candidate's accepted offer. Use our calculator to estimate costs for different roles.
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Expected monthly cost
$
6,000
Candidate's salary
The amount paid to the candidate, their net earnings.
$
4,800
Teilur's fee
The 20% retained by us
$
1,200
Total payment
The gross salary, including both candidate earnings and our fee.
The Advantages of Hiring Software Engineers in Mexico
Market recognition and demand
According to Gartner, Mexico ranked fourth as the leading IT services provider. The country's IT sector is supported by approximately 500,000 IT professionals and 121 universities linked to the PROSOFT program.
Geographic and cultural affinity with the US and being in the same time zone allows for real-time solutions and ease of customer communication.
Mexico is an ideal supplier for the American market, whose clients express high satisfaction with the proximity and quality of services.
Lower salaries
Cities like Mexico City, Guadalajara, and Monterrey offer an excellent standard of living at much lower costs than major tech hubs like San Francisco or New York.
AI/ML engineers in Mexico have a salary starting at $50,000 a year, significantly less than their American counterparts, who can earn more than $180,000 in cities like San Francisco.
Mexico is an ideal supplier for the American market, and clients express high satisfaction due to its proximity and quality of services.
Get the benefits of hiring in Mexico with Teilur Talent
The hiring process is more straightforward using Deel, a global compliance and payroll provider that ensures transactions and compliance with international regulations without hassle.
Teilur Talent conducts rigorous background checks on all AI/ML engineers, ensuring each candidate is trustworthy.
Teilur Talent has impressive talent retention rates, so the AI/ML engineers you hire remain engaged and motivated, contributing to the long-term success of your projects.