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Machine Learning Engineer

Há 1 mês


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 be responsible for developing and deploying scalable tools and services to enable machine learning training and inference by our data scientists.

Key Responsibilities:

  • Communicate with data scientists to understand the frameworks and models built.
  • Develop and deploy scalable tools and services to enable machine learning training and inference.
  • Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems.
  • Collaborate with the data team in the design of the data pipelines and engineering infrastructure to support our machine learning systems.
  • Facilitate the development and deployment of proof-of-concept machine learning systems.

Requirements:

  • Strong background in software development.
  • Experience building MLOps pipelines.
  • Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
  • Strong communication skills and can easily communicate with backend engineers, ML engineers, and business stakeholders.

What We Offer:

  • Stock options.
  • Annual company bonus.
  • Flexible working hours.
  • Remote friendly.
  • Pet friendly.
  • Access to mental health service.
  • Health Insurance.
  • Paid time off on your birthday.
  • Work from any office twice per year.
  • Renew your laptop every 3 years.
  • Training Budget.
  • Team-building events.
  • Bank holidays swap inside the same month.
  • Fitness/wellness stipends.
  • Yearly offsite.
  • Fresh fruit every week, all-you-can-drink tea and coffee.
  • 1 week off on your 2-year anniversary.

About Belvo:

Belvo is an Open Finance API platform for Latam. We are a highly-technical, passionate, and driven team. We are more than 100 people, our team currently represents 26 nationalities and we have offices in Barcelona, Mexico City, and São Paulo - while a large portion of us works remotely.