Hire remote machine learning engineers
in May 2025
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Hire remote machine learning engineers
Julio B.
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Alexis C.
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Brenda H.
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Cynthia G.
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Camilo A
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Natalia M.
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Why should you hire engineers from Latin America?
Cost Savings
Hiring machine learning engineers remotely in Latin America is significantly more cost-effective. For instance, the average monthly salary of a remote machine learning engineer is between $3,750 and $6,250. This enables companies to access top-tier talent while optimizing their budgets.
Access to Top Talent
When you hire remote machine learning engineers, you're not limited to local talent. Latin America has a large and growing pool of tech talent, with more than 500,000 software developers in Brazil and over 220,000 in Mexico alone. This is especially valuable for specialized areas such as deep learning and natural language processing (NLP).
Cultural Fit
Cultural compatibility with U.S. teams. Latin American professionals share similar work values, such as work ethic, results orientation and direct communication. In addition, time zone alignment allows for real-time collaboration, improving efficiency and decision making.
Cost of a Machine Learning Engineers
Teilur Talent is disrupting the international recruiting industry through transparent pricing.
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1,000
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Why should you hire machine learning engineers?
If you are looking to hire remote machine learning engineers, you are investing in professionals who design, build and implement machine learning models that enable systems to learn from data and make predictions or decisions. With 78% of global companies already using AI, it is essential to integrate machine learning experts into your team. These engineers are proficient in various technologies, such as Python, R, TensorFlow, PyTorch, and Scikit-learn. They work with large data sets to develop algorithms that improve over time.
Key benefits of hiring remote machine learning engineers include faster data processing, more accurate predictions and the ability to automate time-consuming tasks. These professionals can streamline operations by creating systems that continuously improve based on incoming data, speeding up decision-making processes and reducing human error. For example, in e-commerce, they can create recommendation engines that personalize user experiences, while in finance, they develop sophisticated fraud detection algorithms.
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An end-to-end recruiting solution
Recruiting:
We carefully match you to top engineers based on your business needs, mission, company size, and industry.
Payroll:
We simplify international payroll, you can pay monthly via ACH, Ethereum, and we accept any credit card for your convenience.
Contract & Compliance:
Forget about headaches of legal regulation in other regions, we take care of the contract, compliance, and legal matters.
Benefits:
We believe a happy talent is the key to success. We take care and assign the benefits for the engineer you have choosen with us.
A simple process to start
We match you with the right talent depending on your business model
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Got questions? We've got answers.
Regions such as Latin America are emerging as popular destinations for remote talent, not only because of the high quality of skilled professionals, but also because of their cost-effectiveness. These regions often offer a favorable balance of competitive salaries and excellent technical expertise, making them attractive to companies looking to build remote teams.
Depending on your hiring strategy, machine learning engineers can be sourced through a variety of channels. One option is specialized remote talent platforms that focus on connecting companies with vetted machine learning professionals from around the world. These platforms simplify the hiring process by selecting candidates based on technical skills and experience, and sometimes cultural fit.
Machine learning (ML) enables computers and software systems to learn from data, identify patterns, and improve their performance on specific tasks without being explicitly programmed for each scenario. The primary purpose of ML is to automate decision-making processes and predictions by learning from past information, which helps businesses operate more efficiently and make smarter choices.
Hiring machine learning engineers effectively starts with clearly defining your project goals and technical requirements—whether you need someone for data preprocessing, model development, or deploying ML solutions in production. Once the role is defined, explore remote hiring platforms specializing in tech talent that vet candidates through coding tests and technical interviews.
The best way to recruit engineers combines several approaches. Start by writing clear, detailed job descriptions that highlight not only technical skills but also company culture and growth opportunities. Use specialized remote hiring platforms that match talent profiles to your job needs, accelerating the screening process. Networking through industry events, online tech communities, and referrals often brings highly qualified candidates who may not actively apply otherwise.