Machine Learning Engineer Manager (ai Platform)

Nu

Sao Paulo, Brazil
Equity opportunity; meal card; medical/dental plan...
Hybrid (2-3 times/week in-office)
Machine learning engineering leadership
Mlops and infrastructure experience
Kubeflow sagemaker databricks knowledge
Nu, one of the largest digital financial platforms in Latin America, is seeking a Machine Learning Engineer Manager to lead a team focused on democratizing AI capabilities within the organization. The role combines technical leadership with people management, requiring a candidate with experience in ML engineering and a passion for building innovative solutions

Job Summary

  • The mission of the AI Platform team is to democratize AI by empowering every Nubanker with safe, scalable, and accurate Machine Learning capabilities.
  • You will lead a squad of 11 Machine Learning Engineers while combining technical leadership with people management to define the organization's technical roadmap.
  • Nubank offers comprehensive benefits including equity opportunities, extended parental leave, and a hybrid work model requiring presence in the office twice a week.

Matching Summary

Match Score: 85

Nu, one of the largest digital financial platforms in Latin America, is seeking a Machine Learning Engineer Manager to lead a team focused on democratizing AI capabilities within the organization. The role combines technical leadership with people management, requiring a candidate with experience in ML engineering and a passion for building innovative solutions.

Salary

Equity opportunity; Meal Card; Medical/Dental Plans

Skills & Requirements

Must-have

  • Machine Learning Engineering leadership
  • MLOps and Infrastructure experience
  • Kubeflow SageMaker Databricks knowledge
  • Managing high-performing engineering teams
  • Scalable parallel processing architecture

Nice-to-have

  • Builder mindset with autonomy
  • Big Tech engineering culture
  • UX improvement for Data Scientists
  • Strategic roadmap translation skills

Key Requirements

  • Experience managing high-performing engineering teams
  • Solid background in ML Engineering or Data Science
  • Comfort with Kubeflow, SageMaker, and Databricks

Work Rights

Not specified

Tailored Resume

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