Machine Learning Engineer

Purpose Statement To enable Data Scientists and Decision Scientists to do work more efficiently; build, implement, improve and support platform improvements which will support delivery of the Capitec AI strategy.
To collaborate in creating and delivering the AI strategy to ensure Capitec is able to compete in a fast-changing landscape. The effective use of AI technologies will be a key strategic differentiator in the future.
Experience NB: Length of experience for Machine Learning Engineers is conditional on the qualifications obtained Machine learning and software development experience Delivering nonstandard predictive models into a production environment Working with Python and SQL Experience with modern software development best practices Working in cloud environments Experience with big data processing frameworks Qualifications (Minimum) Masters Degree in Information Technology - Computer Science or Engineering - Other Qualifications (Ideal or Preferred) Knowledge Machine learning model life cycle Knowledge of machine learning patterns and concepts Understanding of distributed systems Understanding a broad range of data structures and algorithms, and which to use Knowledge of engineering and operational excellence best practices Ability to debug code through common troubleshooting techniques such as metrics, logs and traces Predictive modelling techniques (statistical and machine learning) and deployment Skills Analytical Skills Decision making skills Planning, organising and coordination skills Problem solving skills Researching skills Conditions of Employment Clear criminal and credit record
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