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Senior Machine Learning Engineer - Remote

Posted Yesterday
Software Development
Full Time
Mexico, Mexico City

Overview

This position is for a Senior Machine Learning Engineer at Nubank, where you will work with a team that develops models to enhance customer experiences in financial services.

In Short

  • Productionalize and scale machine learning models to impact business outcomes.
  • Design experiments for model implementation.
  • Integrate external data sources for model feeding.
  • Lead challenging machine learning engineering projects.
  • Expand team knowledge and inspire colleagues.
  • Contribute to project design and prioritize tasks.
  • Ensure technical excellence in the team.
  • Foster a positive technical culture locally.
  • Implement improvements in workflows and organization.

Requirements

  • Strong coding skills in Python/Scala or equivalent.
  • Understanding of production environment challenges.
  • Openness to learn new technologies like Clojure.
  • Good understanding of model development and deployment pipelines.
  • Experience with machine learning tools and libraries (e.g., Scikit-learn, Mllib).
  • Data handling skills; Spark Data frames or SQL proficiency is a plus.
  • English language proficiency.

Benefits

  • Chance of earning equity at Nubank.
  • Extended maternity and paternity leaves.
  • Health and life insurance.
  • Mental health and wellness assistance program.
  • Learning platform with various courses.
  • Language learning program.
  • Holiday Bonus of 30 days of pay per year.
  • 17 days of paid vacation with a 25% vacation bonus.
  • Gym partnership.
Nubank logo

Nubank

Nubank, founded in 2013, is a leading digital banking platform dedicated to simplifying financial services and empowering individuals in their daily lives. With a strong presence in Brazil, Mexico, and Colombia, Nubank serves millions of customers and is committed to innovation and security in the financial sector. The company fosters a collaborative and multidisciplinary work environment, emphasizing the importance of security and compliance while providing a range of employee benefits and a flexible hybrid work model.

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