Machine Learning Engineer
7 days ago
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.
- 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 the modern software development best practices, Working in cloud environments.
- Experience with big data processing frameworks
- Masters Degree in Information Technology - Computer Science or Engineering
- Machine learning model life cycle
- Knowledge of machine learning patterns and concepts
- Understanding of distributed systems
- Understand 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
- Analytical Skills
- Decision making skills
- Planning, organising and coordination skills
- Problem solving skills
- Researching skills
- Clear criminal and credit record
You can visit our website for more vacancies: / Facebook page @wePlace / LinkedIn
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