JUMO World – Senior Machine Learning Engineer (Nairobi).

Get a free C.V. review by sending your C.V. to submitcv@careerassociated.com or click the following link. Submit C.V.! use the subject heading REVIEW.

IMPORTANT: Read the application instructions keenly, Never pay for a job interview or application.

Click the Links Below to Get Job Updates.

https://www.facebook.com/groups/1126060830815705

https://t.me/joinchat/EBWPu0Cfzh880lRySce_AQ.


Founded in 2015, JUMO’s mission is to empower emerging market entrepreneurs with financial choices. At JUMO we believe that we have the opportunity in our lifetime to connect every entrepreneur to the financial products they need to grow and prosper. We need exceptional people in key roles to make that happen.

As Senior Machine Learning Engineer 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.

Responsibilities

  • Build and evolve JUMO’s Prediction Services platform to support our mission of financial inclusion
  • Deploy real-time and batch models that predict customer behaviour for optimal product fit  
  • Work with a team of ML Engineers who are keen to solve big problems and grow as a collective 
  • Immerse yourself in a data driven environment working closely with Data Engineering, Decision Science and Portfolio teams. 
  • Mentor juniors with technical leadership
  • Help with reviewing code and merging changes
  • Drive your own development with the support of senior leaders
  • Iterate quickly without compromising quality
  • Help guide and set the standards in coding and deployments
  • Drive operational excellence in meeting our Service Level Objectives 
  • Work directly with team stakeholders and help with breaking down complex problems into smaller tasks

Education

  • Degree in Engineering, Computer Science or similar
  • 5 years+ software development experience as part of a team
  • Expert Python skills
  • Proven technical leadership in developing mission critical software
  • Proven experience in the Machine Learning lifecycle
  • Proven experience with large scale datasets beyond traditional SQL technologies, such as NoSQL & Apache Spark, AWS EMR
  • Cloud development experience, preferably AWS
  • Proven experience in Continuous Delivery and Integration of Code
  • Ability to work in autonomously in potentially ambiguous situations

.

.

Click here to apply

.

.

.


Processing…
Success! You're on the list.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Create a website or blog at WordPress.com

Up ↑

%d bloggers like this: