Posted on October 6th, 2021 | 80 days left to apply | 40 views
As Software Engineer in the ML domain you will accountable for building JUMO's next generation of Prediction Services that enable us to deploy ML models into production, directly affecting customer offers and our portfolio performance. Our role as a team is to build systems that increase efficiency in turning data into predictive features and executing predictive models on these features. Predictions are consumed by downstream systems in segmentation, offer generation and asset management. Prediction is a mission critical function at JUMO and therefore our team strives for operational excellence and you would be expected to join us in this mindset.
You will be based in either South Africa, Kenya or Portugal and will report to the Head of ML Engineering. We operate a remote first working approach where working remotely is our default way of working. We have a co-working space available in Cape Town for collaboration and connection and for the use of those who value and want to work out of an office. For our Kenya and Porto colleagues, we provide access to co-working spaces on a needs basis for collaboration and connection. You can however work from any location in these countries.
If you join us, you will
What you’ll need
Bonus if you have experience in
We ask a lot of each other at JUMO, but we give a lot too.
You will love
Our environment is designed to foster innovation and enable collaboration, working from one of our Tech Hubs in South Africa, Kenya or Portugal. We operate a remote first working approach where working remotely is our default way of working. We have co-working spaces available in Cape Town and Nairobi for collaboration and connection and for the use of those who value and want to work out of an office. If you work from Porto we provide access to co-working spaces on a needs basis for collaboration and connection.
Diversity and Inclusion
At JUMO, we believe that diversity strengthens our teams and we strive in our recruitment process to create an environment where people from every background can collaborate and prosper and be themselves.