Hire a Machine Learning Engineer in Bogota

Published on
May 8, 2025
Written by
Maria del Mar Agudelo
EDITED by
Juan David Rodríguez
Read time
5 Minutes
Category
AI/ML Developer

As the demand for expertise in artificial intelligence and data analytics grows, many companies are looking beyond traditional technology centers to find highly skilled professionals. One of the most strategic decisions you can make is to hire a machine learning engineer in Bogota. These professionals, who specialize in developing predictive models and data-driven solutions, benefit from a strong academic background, as well as being up to date with the latest technology trends. With a highly qualified talent pool and an expanding technology ecosystem, Bogota is positioned as an ideal environment for hiring top-notch engineers.

Why is it advantageous to hire a machine learning engineer?

Machine learning engineers are specialized professionals who design, build, and deploy machine learning models that enable systems to learn from data and make decisions without explicit programming. These experts specialize in algorithms, statistics, and data modeling. They work with large data sets to train models that can predict outcomes, classify information, and automate tasks. They use technologies such as Python, R, TensorFlow, and PyTorch, as well as cloud platforms like AWS and Google Cloud, to scale solutions.

Machine learning engineers can streamline processes, improve decision-making, and extract insights from complex data sets that would otherwise remain hidden. Companies can automate repetitive tasks, improve customer experience through recommender systems, and predict trends that inform business strategies with their expertise. Their technical skills and ability to implement scalable solutions make machine learning engineers indispensable for companies looking to remain competitive in a data-centric world.

Find out more about how to hire a machine learning engineer.

Hire a Machine Learning Engineer in Bogota

Cost-Effective Solutions

One of the biggest advantages of hiring a machine learning engineer in Bogota is the cost-effectiveness. The salary of a machine learning engineer in Bogota is significantly lower than that of engineers in the US. You can hire top talent for a fraction of the cost, freeing up resources for other areas of your business. For instance, you can hire a senior machine learning engineer in Bogota for between $3,750 and $6,000. This makes Bogota an attractive destination for companies looking to optimize their budgets.

Learn more about the importance of transparency for clients and developers.

Access to Top Talent 

Bogota has become a hub for technological talent, especially in fields such as machine learning, artificial intelligence, and data science. The city is home to the National University of Colombia, the country's top university, which is recognized for its rigorous engineering and computer science programs. This institution and others in Bogota consistently produce highly skilled graduates who are well-versed in the latest machine learning techniques and tools.

When you hire a machine learning engineer from Bogota, you gain access to professionals who were trained at one of the best academic institutions in Latin America. These engineers are fluent in programming languages such as Python, R, and Java and have hands-on experience with frameworks such as TensorFlow and PyTorch.

Time Zone Advantage

Bogota is in the UTC-5 time zone, which is particularly convenient for companies in the USA. If you are based in North America, you will find it easy to collaborate with engineers in Bogota, as there is little or no time difference. During the winter months, Bogota shares the same time as cities like New York and Miami, and in the summer it is only one hour behind due to daylight saving time in the US. Compared to San Francisco, Bogota is usually two to three hours ahead, depending on the time of year.

For example, a machine learning engineer working in Bogota can easily attend meetings during U.S. business hours, ensuring smooth communication and faster project timelines. This overlap in working hours minimizes delays and makes real-time collaboration feasible.

Learn more about why time zone overlap matters for LATAM outsourcing.

Source: timeanddate.com

Explore the Growing Tech Hub

Bogota's technology scene has grown rapidly, with a large number of startups and established companies investing in technology and innovation. The city enjoys a strategic position for international business and has become one of Latin America's leading startup hubs, supported by startup-friendly policies, strong funding rounds and events that attract global leaders in the ecosystem. In fact, Bogota's startup ecosystem ranks 63rd globally and #1 in Colombia.

As a result, demand for machine learning engineers has skyrocketed, and the city now has a highly competitive talent pool. When you hire a machine learning engineer in Bogota, you are accessing a dynamic and connected ecosystem where professionals are constantly participating in tech meetups, hackathons and collaborative communities to stay at the forefront of innovation.

Teilur Talent Website

Transparent Pricing Model at Teilur Talent

We believe in a transparent and straightforward pricing model that sets us apart from other international recruitment companies. Unlike our competitors, who often have hidden fees or complex pricing structures, we disclose our margins upfront. This ensures that you know exactly what you are paying. Our margins never exceed 20% of the payment you make to the candidate, which makes it easy for companies to budget and plan.

Additionally, Teilur Talent simplifies the complexities of international payroll and compliance. Hiring talent across borders can be challenging, including navigating local tax laws and ensuring proper contract compliance. Our comprehensive solution handles everything from payroll to legal regulations, allowing you to focus on your core business.

Find out more about how Teilur Talent's pricing is disrupting the recruiting industry with transparency.

FAQ

How to hire machine learning engineers?
Hiring a machine learning engineer involves assessing your project needs, defining the required skills, and searching for qualified candidates. You can find talent through platforms, agencies, or direct hiring. Make sure to prioritize technical skills, experience, and compatibility with your company culture.

How much does a machine learning engineer cost?
The cost of hiring a machine learning engineer can vary based on location, experience, and project complexity. In Bogota, you can expect to pay significantly less compared to North America or Europe while still accessing high-quality talent.

Where to hire AI experts?
AI experts can be hired through job boards, freelance platforms, and agencies. Specialized platforms like Teilur Talent focus on connecting you with skilled engineers from various locations, including Bogota.

What is the best way to recruit engineers?
The best way to recruit engineers is by using a structured hiring process, including a clear job description, technical assessments, and interviews to evaluate problem-solving skills. You can also seek recommendations or use specialized recruitment services to streamline the process.

Conclusion

Hiring the right talent is essential for developing effective, scalable machine learning solutions. When you hire a machine learning engineer in Bogota, you gain access to top-tier professionals who were trained at leading universities and are supported by a thriving tech ecosystem. These professionals are available at a cost that offers real business value. With its strong academic foundation, competitive startup environment, and convenient time zone alignment with the U.S., Bogota is an ideal location for companies looking to strengthen their machine learning capabilities. To help you make the best decision, use the calculator below to estimate your costs and potential savings. For more details and personalized advice, please contact us.

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"Teilur Talent is the world’s first talent development network connecting U.S. tech startups and remote developers from Latin America!"

At Teilur, Inc, we are committed to accuracy and fairness in all our content. Our discussions and comparisons, particularly those concerning other businesses in the recruitment industry, are grounded in the best interpretations made by our dedicated staff, based on publicly available information. We hold a deep respect for the unique qualities of each organization within our field and strive to offer valuable insights rooted in our core beliefs about the recruitment industry's workings. If you encounter any factual inaccuracies in our content, we encourage you to reach out to us at content-research@teilurtalent.com with the specific URL in question. Your feedback is invaluable, and we are committed to reviewing and addressing your concerns.

Got questions? We've got answers.

1

How is Teilur Talent different from other tech recruiting companies in LATAM?

At Teilur Talent, we take a mission-focused approach to recruiting, ensuring that our candidates are aligned with your company's vision and goals. Unlike other tech recruiting companies in LATAM, who may focus solely on technical skills, we prioritize the cultural fit and dedication of our team members to your company. For this reason, we do not support project contractor or freelancer roles. Instead, we focus on fully devoted team members who will help you achieve long-term success.

2

How does Teilur Talent attract and retain the best talent compared to other companies?

At Teilur Talent, we offer our candidates competitive salaries that are 2x to 3x higher than what tech companies would pay locally. This allows us to attract top talent and retain highly motivated and loyal team members. Additionally, we focus on finding candidates whose values align with the purpose, vision, and mission of our clients. This approach ensures that our engineers and tech talent are not just coding and completing task rather, they become part of a greater purpose, which gives them meaning and helps us attract and retain the best talent.

3

What are the typical tech roles that Teilur Talent recruits for?

At Teilur Talent, we specialize in recruiting for a wide range of tech roles that are typically in high demand. These include positions such as DevOps engineers, AI Developers, QA analysts and engineers, back-end and front-end developers, data scientists, product managers, business developers, and technical sales positions. Essentially, we recruit for most roles that are needed in B2B and B2C tech-focused businesses.

4

What are Teilur Talent's fees and pricing structure?

At Teilur Talent, we believe in transparency. We charge a flat rate fee of 20% of what the client pays. This way, our clients know exactly what they are paying for and how much the candidate gets. As an example: If a client hires a software engineer for $60,000 per year ($5,000 per month), Teilur's monthly fee would be $1,000 (20% of $5,000). We don't believe in hidden fees or unwanted surprises, so we disclose all costs upfront to both candidates hired and companies. When exploring other alternatives, make sure they are transparent about their pricing. We believe this is paramount for the benefit of all parties involved in this new era of remote work.

5

What is the candidate screening process at Teilur Talent, and how do you ensure a good fit for my company?

At Teilur Talent, we take candidate screening very seriously. We use a multi-layered approach to find the best candidates for our clients, starting with screening thousands of candidates from our internal and proprietary networks. We leverage AI technology to assess whether a candidate matches the technical skills required for a given job opening. We also perform additional personal evaluations to ensure that the candidate has the soft skills, culture fit, and English language skills required to excel in their new role. Our rigorous screening process ensures that only the best candidates make it through to our clients, saving them time and helping them find the best talent for their teams.