Machine Learning Engineer [All Levels]
Nubank
13 days ago
Belo Horizonte, Brazil +2 more
Entry Level / Mid Level / Senior
Responsibilities
- Interact with team members to apply data science and AI to business problems.
- Monitor and maintain ML models and systems for performance and operational metrics.
- Deploy ML models in batch and real-time scenarios, including building pipelines.
- Build and maintain tooling and platforms to scale operations across teams.
- Be familiar with modeling and statistics concepts.
Requirements
- Extensive programming experience with modern development techniques.
- Experience creating, deploying, and maintaining ML models and systems.
- Understanding of common failure modes in ML systems and mitigation strategies.
- Familiarity with all stages of the ML model lifecycle.
- Knowledge of cloud services from AWS, GCP, or Azure.
- Familiarity with software engineering and architecture principles.
- Experience with data engineering routines and job scheduling frameworks.
- Ability to navigate complex mathematical and analytical environments.
Benefits
- Chance of earning equity at Nubank.
- Food/Meal Card (Vale-Refeição and/or Vale Alimentação).
- Public Transportation Commuting Benefit (Vale-Transporte).
- NuCare – Psychological, Financial and Legal Assistance Program.
- Life Insurance.
- Medical Plan.
- Dental Plan.
- NuLanguage – Language Course Program.
- Nucleo - Learning platform of courses.
- Extended Parental Leave.
- Daycare Allowance.
- Parental Consultancy.
- Work-from-home Allowance.
- Gym Partnerships.
- 30 days of paid vacation.
Tech Stack
AWSAzureGoogle Cloud Platform
Categories
AI & MLData EngineeringData Science