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
- Planning, organizing, and coordination skills
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