Neon is a fintech that aims to simplify the banking system with a great purpose: to create paths for a better financial life for all Brazilians. We use technology as an ally to innovate and develop the best solutions for those who are on the go!
As a Staff Machine Learning Engineer at Neon, your main responsibility will be to develop and implement machine learning models for fraud prevention. This includes batch models for detecting "mule" accounts and real-time models for account takeovers, card transaction monitoring, and transfer monitoring. You'll also be tasked with building the necessary foundations and structures to enable batch and real-time machine learning at Neon, using modern technologies and best software practices. This may involve partnering with other machine learning infrastructure teams, collaborating with teams that have machine learning needs, hiring third parties, or building part of the infrastructure internally. Finally, you'll collaborate with the engineering team to enable the implementation of machine learning in conjunction with our rules engine.
Requirements:
Differentials:
Neon offers excellent benefits focusing on well-being and development:
Career development:
Financial benefits (using Neon account):
Join Neon and be part of an exceptional team that builds, supports, and recognizes diverse teams that raise the bar high!