Match with Latin America’s Best Tech Talent
Hire a Machine Learning Engineer Via TECLA
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Match with Top Machine Learning Talent from our Network
Interview from a pre-vetted pool of 1,500+ remote ML engineers
2013
Machine Learning
Deep Learning
Python
César Juarez
MX
Machine Learning Engineer
From
Mexico
Years of Experience
César is an accomplished Machine Learning Engineer with data science, statistical analysis, and machine learning expertise. He excels in using Python and various frameworks, including TensorFlow and Scikit-learn. César has a proven track record of working with international companies and startups, collaborating in globally distributed teams. With strong English proficiency and experience in remote work, he seamlessly integrates into diverse environments. César's passion for open-source projects and commitment to continuous learning make him valuable in developing machine learning solutions.
2008
Machine Learning
Data Science
Python
Pedro Pereira
BR
ML / Big Data Engineer
From
Brazil
Years of Experience
Pedro is a seasoned professional with expertise in data engineering, advanced analytics, and machine learning. With over 15 years of experience, he has a proven track record in managing projects, implementing AI/ML strategies, and resolving complex problems. Pedro's skills include data science, machine learning, cognitive solutions, and a wide range of technical tools such as Python, Pyspark, SQL, Hadoop, and AWS.
2003
Machine Learning
Big Data
Predictive Analytics
Alfredo Passos
BR
Machine Learning Engineer
From
Brazil
Years of Experience
Alfredo is a highly experienced professional with expertise in Operations Research, Advanced Analytics, Big Data, and Machine Learning. With over 13 years of consultancy experience, he specializes in forecasting, clustering, classification, deep learning, and natural language processing. Alfredo holds a Ph.D. in Operations Research/Production Engineering and has completed Python and deep learning specializations. His expertise in machine learning enables him to develop and implement advanced analytics solutions for effective decision-making.
2003
Machine Learning
Python
Java
José Ferreira
CO
Machine Learning Engineer
From
Colombia
Years of Experience
José is a Data Engineer at Grupo Abraxas with experience in Python, Java, and Scala. He specializes in distributed technologies like Hadoop, Spark, and MapReduce and has expertise in Azure platforms such as Databricks, Data Factory, and Synapse Analytics. Jose has worked on data lakes, cloud migration, and pipeline automation projects. He has a strong AI and machine learning background, particularly in medical diagnosis, prognosis, and treatment. Jose holds certifications in Data Science and Statistics with Python and has completed nano degree programs in Data Engineering and Machine Learning Engineering.
2013
Machine Learning
Deep Learning
Python
César Juarez
MX
Machine Learning Engineer
From
Mexico
Years of Experience
César is an accomplished Machine Learning Engineer with data science, statistical analysis, and machine learning expertise. He excels in using Python and various frameworks, including TensorFlow and Scikit-learn. César has a proven track record of working with international companies and startups, collaborating in globally distributed teams. With strong English proficiency and experience in remote work, he seamlessly integrates into diverse environments. César's passion for open-source projects and commitment to continuous learning make him valuable in developing machine learning solutions.
2008
Machine Learning
Data Science
Python
Pedro Pereira
BR
ML / Big Data Engineer
From
Brazil
Years of Experience
Pedro is a seasoned professional with expertise in data engineering, advanced analytics, and machine learning. With over 15 years of experience, he has a proven track record in managing projects, implementing AI/ML strategies, and resolving complex problems. Pedro's skills include data science, machine learning, cognitive solutions, and a wide range of technical tools such as Python, Pyspark, SQL, Hadoop, and AWS.
2003
Machine Learning
Big Data
Predictive Analytics
Alfredo Passos
BR
Machine Learning Engineer
From
Brazil
Years of Experience
Alfredo is a highly experienced professional with expertise in Operations Research, Advanced Analytics, Big Data, and Machine Learning. With over 13 years of consultancy experience, he specializes in forecasting, clustering, classification, deep learning, and natural language processing. Alfredo holds a Ph.D. in Operations Research/Production Engineering and has completed Python and deep learning specializations. His expertise in machine learning enables him to develop and implement advanced analytics solutions for effective decision-making.
2003
Machine Learning
Python
Java
José Ferreira
CO
Machine Learning Engineer
From
Colombia
Years of Experience
José is a Data Engineer at Grupo Abraxas with experience in Python, Java, and Scala. He specializes in distributed technologies like Hadoop, Spark, and MapReduce and has expertise in Azure platforms such as Databricks, Data Factory, and Synapse Analytics. Jose has worked on data lakes, cloud migration, and pipeline automation projects. He has a strong AI and machine learning background, particularly in medical diagnosis, prognosis, and treatment. Jose holds certifications in Data Science and Statistics with Python and has completed nano degree programs in Data Engineering and Machine Learning Engineering.
Match with AI & Deep Learning Experts from LATAM
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Why Hire Machine Learning Engineers Via TECLA?
Hire our machine learning engineers to design, build, train, and optimize cutting-edge AI models for your business. Our elite LatAm-based experts will help pioneer data-driven solutions that enable actionable insights and automation opportunities.
Over the last 10+ years, TECLA has earned a golden reputation for modernizing the tech talent industry. We craft custom recruitment solutions to connect you with the best data scientists in Latin America at half the cost of U.S. talent – and in record time.
Today, 80+% of top companies are investing in ML and AI. Join industry leaders in leveraging machine learning experts to meet your most ambitious business goals.
Over the last 10+ years, TECLA has earned a golden reputation for modernizing the tech talent industry. We craft custom recruitment solutions to connect you with the best data scientists in Latin America at half the cost of U.S. talent – and in record time.
Today, 80+% of top companies are investing in ML and AI. Join industry leaders in leveraging machine learning experts to meet your most ambitious business goals.
Choose TECLA's Flexible Hiring Solution and Unlock Exclusive Recruitment Benefits:
An outstanding network of 50,000+ tech pros in 18 LatAm countries
Custom recruitment solutions
100% pre-vetted machine learning experts
Record 7-day average time-to-hire
Transparent rates and processes
96% candidate success rate
Proprietary smart matching technology
A 90-day satisfaction guarantee
At TECLA, Our Nearshore Machine Learning Engineers Provide These & More Solutions:
Custom ML Model Creation
Hire machine learning engineers via TECLA to create state-of-the-art machine learning models. No matter your business goals, our experts will:
- Identify your unique data needs
- Set up and validate a data pipeline
- Train the model and tune its parameters
- Test and deploy the model for maximum accuracy and performance
Through this meticulous process, our machine learning engineers will design tailored and innovative models that utilize the latest in artificial intelligence, deep learning, and big data.
Predictive Analysis
Our data scientists for hire can dig deep into your data to create and refine models that forecast key metrics. Enable strategic decision-making through actionable insights about customer behavior, product sales, market trends, predictive maintenance, warehouse inventory, energy consumption, and more.
Computer Vision
Boost your visual data capabilities by recruiting machine learning experts. Our engineers can build next-gen models that process and analyze visual data in real-time. This includes image processing, video analysis, facial recognition, spatial analysis, optical character recognition, and more. What’s more, our engineers can integrate your computer vision with relevant software (such as ERP, POS, CCTV, etc.) for enhanced services.
Recommender Systems
Personalize your user experience through ML models fitted to your business infrastructure. Our machine learning experts can create systems to recommend products, send real-time special offers, segment customers and increase customer engagement in the long run.
Natural Language Processing
Refine your NLP models to drive new business capabilities, including AI chatbots, digital assistants, speech recognition, speech-to-text transformation, key phrase extraction, machine translation, automatic text labeling, and more. Our NLP engineers for hire are well-versed in neural networks and language complexity to build accurate and nuanced models.
Business Intelligence
Discover top machine learning engineers to enhance your business intelligence, operations efficiency, and data analysis. Our LatAm-based experts can develop ML solutions that enable smart automation, data visualization, dynamic pricing, fraud detection, revenue models, production line analysis, etc.
Hire a Machine Learning Expert in 4 Simple Steps
01
Pinpoint Your Ideal Fit
Let’s discuss your ideal machine learning expert job post. This should include key traits such as experience level, past projects, soft skills, etc.
02
Review Your Matches
Within days, our talent team will be in touch with a tailored list of ML engineers who meet your requirements. Check out your matches and determine which ones you want to meet.
03
Interview Your Favorite Experts
Learn more about your top machine learning engineers during the interview. Dive into their backgrounds, skill sets, working styles, etc. Once you find the perfect candidate, send an offer!
04
Onboard Your New Hire
Hire machine learning engineers with our custom methods, such as direct hire or staff augmentation. As soon as your chosen expert is onboard, ramp up your next ML project!
The Benefits of Integrating Machine Learning
Empower your business with scalable, data-rich machine learning solutions tailored to your most complex challenges. Our top ML experts can build savvy models using today’s most advanced technologies in order to drive strategic decision-making, automation, and innovation.
Solve Complex Business Problems
Machine learning lets your business leverage massive datasets to solve complex challenges. Hire our ML engineers at TECLA to create custom-fit models that align with your business strategy, so you can offer innovative services, elevate productivity, and harness insights to assist your teams.
Accelerate Digital Transformation
Digital transformation is key for businesses looking ahead toward optimized operations and advanced services. Recruit our machine learning engineers to enable automation, smart workflows, forecasting capabilities, and full-range interoperability with your tech infrastructure. Our experts at TECLA will set up your business for digital readiness that meets today’s – and tomorrow’s – greatest challenges.
Improve Operational Efficiencies
Streamline your operations with machine learning models that use the latest in data science. Revamp your business processes, warehouse inventory, maintenance calendar, product development, employee productivity, and more. Our ML engineers will train models that reap actionable insights to create efficiencies and reduce your costs in the long term.
Boost Customer Engagement
Given that 57% of machine learning is aimed at improving the customer experience, hire ML experts to maximize relationship management. Provide white-glove services that earn customer loyalty, such as personalized touchpoints, 24/7 chatbots, and dynamic customer engagement systems. In turn, these enhanced interactions will uplift your brand awareness and ongoing sales.
Reduce Business Risks
Recruit our machine learning specialists to reduce risk and human error throughout your business. Our experts are skilled in building and training Responsible AI models to automate repetitive tasks, monitor security threats and provide accurate data-driven insights so that your business is safeguarded from threats and liabilities.
Trusted By the World’s Most Innovative Companies
Machine learning is booming as companies see the advantages of automation and optimization firsthand. Some of the world’s most innovative businesses are leveraging ML technology, including Baidu, HubSpot, IBM, Microsoft, Netflix, Pinterest, Salesforce, Yelp, and more.
Frequently Asked Questions About Machine Learning Engineers from LATAM
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