Kora

payments

MachineLearningEngineer

Mexico; India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Machine Learning Engineer at Kora. Skills: Machine Learning Engineering, Time-series forecasting, Anomaly detection, MLOps, Python, Spark, Vertex AI, Airflow. Design and ship a per-merchant payment volume forecasting system. Build and maintain fraud/ anomaly detection across the payment stack”

Industry & Context.

payments
Problems you'll solve

Ability to identify gaps in data-driven business processes and come up with solutions

What They're Looking For.

Must Have

3+ years as an ML engineer in a production environment, Python, comfort with Spark for large-scale data processing, Experience with time-series modelling: decomposition, forecasting, anomaly detection, Solid grasp of the ML lifecycle as a unified discipline, Ability to work with batch infrastructure and design for it deliberately, High ownership mentality, Ability to identify gaps in data-driven business processes and come up with solutions

Nice to Have

Familiarity with Vertex AI (custom training jobs, model registry, pipelines, monitoring), Experience in payments, fintech, or any domain where label quality, distribution shift, and operational constraints are real problems, Exposure to African market dynamics, n8n or similar automation/workflow tooling experience

What You'll Do.

Design and ship a per-merchant payment volume forecasting system

Build and maintain fraud/ anomaly detection across the payment stack

Own the dynamic merchant segmentation system end-to-end

Instrument and monitor deployed models

Build automation tooling that sits alongside the core ML work

Contribute to product and strategic thinking

How You'll Work.

Team & Collaboration

work with a highly collaborative team

Communication Scope

clear communication; ability to explain design decisions and trade-offs; honesty about model limitations

Full Job Description

### Company Kora is the marketplace for everything payments. We offer a robust payment API for payment collections, disbursements, and conversions for businesses anywhere in Africa. Our vision, which is at the core of what we do every day, is to create a world void of digital financial barriers. We are committed to delivering reliable, secure, and easy-to-use digital financial solutions to every single customer with a guarantee that it is improving their lives. To achieve this mission, we need people like you. We strongly believe in our ability to find Water in the Desert and pick the Sands in the Ocean. We value positive energy and clear communication, and are committed to building an inclusive environment for people from every background. ### ### Role Summary We run payments across Africa and are now positioned as a global fiat and stablecoin payment infrastructure. We offer mobile money, virtual bank accounts, and virtual cards for payins and payouts across multiple markets. Our data infrastructure is batch-first (Airflow + a cloud data warehouse) and we use Vertex AI for our MLOps lifecycle. The ML team is high-ownership: you will build models, design systems, ship them, and observe them in production. You will work on merchant-facing intelligence: forecasting, anomaly detection, segmentation, as well as automation and product-layer ML. If you want to build practical things that matter in a context that most ML engineers never get near, this is the role. ### What You'll Work On * Design and ship a per-merchant payment volume forecasting system: time-series decomposition, Africa-specific event calendars (salary cycles, MNO maintenance windows, public holidays), quantile regression for uncertainty bounds * Build and maintain fraud/ anomaly detection across the payment stack (residual-based and model-driven) with tiered alerting logic mapped to merchant risk profiles. * Own the dynamic merchant segmentation system end-to-end: rule-based and data-driven hybrid, perc

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