Machine Learning Engineer
K
KoraPayments, fintech
Workable workplace: remote Workable locations: NigeriaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years as an ML engineer in a production environment
- Required Skills
- PythonSQLAirflowSparkBigQuery
Requirements
- 3+ years as an ML engineer in a production environment
- Strong Python and 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: you notice problems and fix them as opposed to waiting to be assigned
- Ability to identify gaps in data-driven business processes and come up with solutions
- 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
Responsibilities
- 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, percentile thresholds grounded in EDA, segment-transition features as ML inputs
- Instrument and monitor deployed models: drift detection, retraining triggers, and evaluation pipelines via Vertex AI
- Build automation tooling that sits alongside the core ML work: Airflow DAGs, pipeline scaffolding, and tooling to reduce operational toil
- Contribute to product and strategic thinking.
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