machine learning engineering
[/məˈʃiːn ˈlɜːrnɪŋ ˈɛndʒɪˈnɪrɪŋ/]
noun
engenharia de aprendizado de máquina
1. The practical application of machine learning algorithms and models to solve real-world problems, encompassing the entire lifecycle from data preparation to model deployment and maintenance
Machine learning engineering combines data science with software engineering to create scalable, production-ready ML systems.
A engenharia de aprendizado de máquina combina ciência de dados com engenharia de software para criar sistemas de ML escaláveis e prontos para produção.
2. The discipline focused on designing, building, testing, and deploying machine learning models in production environments
The team's machine learning engineering efforts resulted in a recommendation system that increased user engagement by 40%.
Os esforços da equipe em engenharia de aprendizado de máquina resultaram em um sistema de recomendação que aumentou o engajamento do usuário em 40%.
Machine learning engineering is a rapidly growing field in both Brazil and the USA, particularly in tech hubs like São Paulo and Silicon Valley. The term reflects the evolution from theoretical machine learning research to practical engineering practices, emphasizing reproducibility, scalability, and operational excellence in AI systems. In Brazil, this field has gained significant momentum with major tech companies establishing ML engineering centers.
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