About M-KOPA
M-KOPA is a fast-growing FinTech company offering millions of underbanked customers across Africa access to life-enhancing products and services. From our roots as the pioneer in pay-as-you-go PayGo solar energy for off-grid homes, we have grown into one of the most advanced connected asset financing platforms in the world, empowering a broad range of customers to achieve progress in their lives.
We are seeking someone with a focus on developing machine learning infrastructure, advanced ML modelling, and monitoring tools. Ideally with a background in both software engineering and data science, enabling you to build scalable ML pipelines, create advanced monitoring systems, and develop robust machine learning models. It would be a real bonus if you had expertise in credit scoring/decisioning models .
This is a fully remote role, within the following time zone (UTC -1 / UTC+3). Our engineers work remotely from locations such as UK, Europe and Africa. You will be reporting to the group Engineering Manager.
Expertise in the following would really highlight your suitability
- Python
- Proficient in popular machine learning frameworks for time series data, including:
- scikit-learn
- LightGBM
- XGBoost
- Experienced with Continuous Integration/Continuous Deployment (CI/CD) frameworks.
- Skilled in monitoring models in production environments.
- Proficient in Python and experienced with cloud services (AWS, GCP, Azure).
- Familiar with containerization technologies (Docker, Kubernetes) and orchestrators (Airflow).
- Well-versed in MLOps best practices.
- Experience in developing credit scoring/decisioning models.
- Strong problem framing and problem-solving skills.