Machine Learning Engineer

Há 2 dias


São Paulo, São Paulo, Brasil Belvo Tempo inteiro
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team at Belvo. As a Machine Learning Engineer, you will play a key role in developing and deploying scalable machine learning models and systems that enable our data scientists to build and train models efficiently.

Key Responsibilities
  • Collaborate with data scientists to understand their frameworks and models, and develop scalable tools and services to enable machine learning training and inference.
  • Develop and deploy proof-of-concept machine learning systems, and facilitate the development and deployment of production-ready machine learning systems.
  • Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems.
  • Work with the data team to design data pipelines and engineering infrastructure to support our machine learning systems.
Requirements
  • Strong background in software development and machine learning.
  • Experience building MLOps pipelines and deploying machine learning models.
  • Excellent communication skills and ability to work with cross-functional teams.
  • Experience with popular MLOps frameworks and tools, such as DVC, MLFlow, and Docker.
What We Offer
  • Stock options and annual company bonus.
  • Flexible working hours and remote-friendly work environment.
  • Pet-friendly offices and access to mental health services.
  • Health insurance and paid time off on your birthday.
  • Renew your laptop every 3 years and training budget.
  • Team-building events and fitness/wellness stipends.
About Belvo

Belvo is a financial API platform that enables companies and developers to access and interpret end-users' financial information. We are a highly technical, passionate, and driven team that is tackling a very stimulating problem: connecting fintech innovators with legacy financial infrastructure.

We are a flexible international team focused on creating cool stuff, and we are backed by some of the leading investors in Silicon Valley and Latin America.


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