Machine Learning Engineer at Shoprite Group of Companies

Purpose of the Job    

• The Machine Learning Engineer is primarily responsible for building end-to-end machine learning models from ideation to deployment and scalability. You would create new and improved data-driven solutions to assist the Group in answering business questions, gaining competitive advantage, identifying new market opportunities, increasing efficiencies, and/or reducing costs.

Job Objectives    
1. Work in a cross-functional team, collaborating with data scientists, engineers, and analysts to understand project goals, interpret
end-users intent and drive the build, implementation and scale-up of algorithms for measurable impact.
2. Display basic understanding of ANN's, CNN's, RNN's, autoencoders, fundamental data science concepts (linear and logistic regression,
SVM's, dimensionality reduction), decision trees, gradient boosting, ensemble models, etc. to develop machine learning models.
3. Implement above architectures with deep learning frameworks such as Keras and TensorFlow.
4. Train models on large-scale data and fine tune hyper-parameters.
5. Research and implement appropriate machine learning algorithms and tools by selecting the correct libraries, programming
languages, and frameworks for each task.
6. Understand and use computer science fundamentals, including data structures, algorithms, computability, complexity and
computer architecture.
7. Keep abreast of developments in the field, and integrate the latest data technologies into existing requirements.
8. Follow best practices and standards in machine learning.
Qualifications    

• 4 year Degree / NQF level 7 in IT and Computer Sciences

Experience    

• At least 1 year of Machine Learning experience
• At least 1 year of Data Science experience

Knowledge and Skills    

• SQL
• Python
• Cloud Platform (AWS) advantageous
• Probability and Statistics
• Prescriptive Modeling