Senior Machine Learning Engineer - Fraud Detection

We are recruiting Senior Machine Learning Engineers to work on the development of a next-generation fraud detection platform for a

major Payment Service Provider (PSP).

The role combines production-grade machine learning engineering, advanced data analysis/statistics, and customer-facing technical

collaboration. You will work closely with the client’s data, engineering, risk, and compliance teams to design, implement, deploy,

and continuously improve real-time ML models operating in a highly regulated financial environment.

We approach these problems as a team, meaning that you will have to be able to clearly explain your reasoning and code in order to

engage the rest of us. This is a hands-on, forward-deployed role requiring both deep technical expertise and strong communication

skills in English.

Domain experience: Fraud detection, payments, fintech, or credit risk. You've worked with cost-sensitive decisions, highly

imbalanced data, and models that directly impact business risk.

How you work: You communicate clearly with engineers, product, and compliance stakeholders alike. You write good documentation and

can hold your own in architecture discussions.

At Modulai, we focus 100% on solving problems with machine learning (ML). We work in teams on a project basis, for clients, as

part of the core team in startups where we have long-term engagements, and we also build our own ML products.

Learning and teamwork are central to how we work. Everyone in the team is or will soon be a full-stack ML engineer capable of

scoping and developing end-to-end ML solutions. You should be able to do end-to-end machine learning products by yourself but

never do it because we always work in teams. If there is data, we will do ML on it!