We are looking for a Machine Learning Engineer to join our Data Science Team. You will collaborate with the Team Lead to create state of the art ML models, deploy and maintain them. Your mission consists of refining or scaling existing models, implementing new AI solutions, and crafting re-usable tools and frameworks for models deployment and monitoring. As a Machine Learning Engineer at Gozem, you’ll get ample opportunity to tackle and solve complex ML issues, and your efforts will significantly improve the quality of our services.
Gozem is a mobile application offering various services (transport, delivery, payments and financial services, and more) to African users, known as "Africa's Super App".
The app is 100% focused on the African market and mainly serves three local parties today : drivers (called champions), customers and merchants. We are present in several cities across Africa, and proud to improve the lives of local communities through the digitalization of the market and the introduction of technology-based efficiency gains.
Do you aspire to flourish in a stimulating and friendly environment ? Do you want to evolve and progress in digital, dynamic and disruptive contexts ?
Join us in building a new African digital ecosystem that improves quality of life. Together, let's make Africa smile !
Google Play Store : https://play.google.com/store/apps/details?id=com.gozem
Apple App Store : https://apps.apple.com/us/app/gozem/id1441247963
What is a Machine Learning Engineer at Gozem ?
Our Machine Learning Engineer will be in charge of solving open ended business problems to drive engagement & revive long term growth by building and maintaining Gozem ML solutions. You will work closely with our Product Manager and Tech Team to add new features to our app in order to scale our activity.
You are perfect for this position if ...
You are intuitive and creative. You have a solid understanding of machine learning techniques and algorithms. You have a strong ability to work independently, and you love finding innovative solutions to solve complex real-world problems.