TL;DR
Machine Learning Engineer (AI): Building and optimizing ML models and ML-enabled systems to deliver value to customers with an accent on integrating models to infrastructure and ensuring proper functionality. Focus on deploying ML models in batch and real-time scenarios, building pipelines, and scaling operations across multiple teams.
Location: Hybrid 2-3 times/week in Belo Horizonte, Campinas, Rio de Janeiro, or Sao Paulo, Brazil
Company
Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services.
What you will do
- Interact with team members to understand how to best apply data science and artificial intelligence.
- Monitor and maintain ML models and systems, ensuring their performance, operational, and business metrics.
- Deploy ML models in both batch and real-time scenarios, including building pipelines, constructing features, and integrating models.
- Build and maintain tooling and platforms to scale operations across multiple teams.
Requirements
- Extensive programming experience and familiarity with modern development techniques.
- Experience creating, deploying, and maintaining ML models and ML-enabled systems using modern frameworks.
- Understanding of common failure modes in ML-enabled systems and how to avoid/mitigate them.
- Familiarity with all stages of the ML model lifecycle, from inception to steady-state operation.
- Familiarity with cloud-based services from vendors such as AWS, GCP, and Azure.
- Familiarity with software engineering and architecture principles for sustainable systems.
- Familiarity with data engineering routines, pipelines, and job scheduling frameworks.
- Ability to navigate complex mathematical and analytical environments when needed.
Culture & Benefits
- Chance of earning equity at hirify.global.
- Food/Meal Card and Public Transportation Commuting Benefit.
- NuCare – Psychological, Financial, and Legal Assistance Program.
- Life, Medical, and Dental Plans.
- NuLanguage – Language Course Program and Nucleo - learning platform.
- Extended Parental Leave, Daycare Allowance, and Parental Consultancy.
- Work-from-home Allowance.
- Gym Partnerships.
- 30 days of paid vacation.
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