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  • Posted: May 17, 2022
    Deadline: Not specified
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    We use only behavioural data from mobile usage to create financial identities for SMME’s. Our customers can then access a world of choice where Banks compete to provide the best savings product or working capital to grow their business. For 80% of our customers it is the first time that they are interacting with a bank. We believe technology provides t...
    Read more about this company

     

    Senior Machine Learning Engineer // Decision Science

    Your day-to-day will involve a mix of:

    • Understanding the prediction and modelling lifecycle and establishing key challenges
    • Designing and building engineering solutions that support scaling model training
    • Collaborating with decision scientists and other teams
    • Optimising and driving efficiency

    You will

    • Solve complex problems in an ultra fast-moving environment
    • Design, build and evolve software related to the prediction and modelling lifecycle.
    • Rapidly prototype solutions that add significant value to scale and productivity
    • Work with scorecard and other domain experts to develop practice tooling
    • Collaborate with a variety of technical and non-technical stakeholders across the data and prediction space

    You will need

    • Machine learning modelling experience with big data
    • Experience in software architecture and system Design
    • Expert python skills and experience with modern tech such as AWS, linux, docker, git, CI/CD, etc
    • Demonstrated track record using big data technologies such as Apache Spark, Amazon EMR or similar
    • Ability to engage with non-technical stakeholders
    • Ability to work as part of a multidisciplinary team

    Method of Application

    Interested and qualified? Go to JUMO.WORLD on boards.greenhouse.io to apply

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