Tech Stack

Description

As a Machine Learning Engineer at Nubank, you'll connect ML models to infrastructure, monitor their performance, and deploy them in both batch and real-time scenarios. You'll also help build tooling and platforms to scale ML operations across teams.

Requirements

• Extensive programming experience with modern development techniques
• Experience creating, deploying and maintaining ML models with modern frameworks
• Understands common failure modes in ML-enabled systems and how to mitigate them
• Familiar with all stages of the ML model lifecycle
• Familiar with cloud-based services (AWS, GCP, Azure)

Responsibilities

• Interact with team members to apply data science to Nubank's problems
• Monitor and maintain models and ML systems
• Deploy ML models in batch and real-time scenarios
• Build and maintain tooling and platforms to scale ML operations
• Be familiar with modeling and statistics concepts