Machine Learning Engineer

Purpose StatementTo enable Data Scientists and Decision Scientists to 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 can compete in a fast-changing landscape. The effective use of AI technologies will be a key strategic differentiator in the future.
ExperienceNB: Length of experience for Machine Learning Engineers is conditional on the qualifications obtained Machine learning and software development experienceDelivering nonstandard predictive models into a production environmentWorking with Python and SQLExperience with modern software development best practicesWorking in cloud environmentsExperience with big data processing frameworksQualifications (Minimum)Masters Degree in Information Technology, Computer Science, or EngineeringQualifications (Ideal or Preferred)KnowledgeMachine learning model life cycleKnowledge of machine learning patterns and conceptsUnderstanding of distributed systemsUnderstanding a broad range of data structures and algorithms, and which to useKnowledge of engineering and operational excellence best practicesAbility to debug code through common troubleshooting techniques such as metrics, logs, and tracesPredictive modelling techniques (statistical and machine learning) and deploymentSkillsAnalytical SkillsDecision making skillsPlanning, organising and coordination skillsProblem solving skillsResearching skillsConditions of EmploymentClear criminal and credit record
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