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 AI strategy.
- To collaborate in creating and delivering the AI strategy to ensure the Bank 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
Length of experience for Machine Learning Engineers is conditional on the qualifications obtainedMachine learning and software development experienceDelivering nonstandard predictive models into a production environmentWorking with Python and SQLExperience with the modern software development best practices, Working in cloud environments.Experience with big data processing frameworksMinimum Qualifications
Masters Degree in Information Technology - Computer Science or EngineeringKnowledge
Machine learning model life cycleKnowledge of machine learning patterns and conceptsUnderstanding of distributed systemsUnderstand 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 deploymentSkills
Analytical SkillsDecision making skillsPlanning, organising and coordination skillsProblem solving skillsResearching skillsConditions of Employment
Clear criminal and credit recordShould you not receive a response from us within one week of your application, your application has unfortunately not been successful.