Machine Learning Engineer
Golden Rule
Cape Town
6d ago

The Role

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 datadriven solutions to assist the Group in answering business questions, gaining competitive advantage, identifying new market opportunities, increasing efficiencies, and / or reducing costs.

  • 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
  • Understand and use 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

  • Implement above architectures with deep learning frameworks such as Keras and TensorFlow
  • Train models on large-scale data and fine tune hyper-parameters
  • Research and implement appropriate machine learning algorithms and tools by selecting the correct libraries, programming languages, and frameworks for each task
  • Understand and use computer science fundamentals, including data structures, algorithms, computability, complexity and computer architecture
  • Keep abreast of developments in the field and integrate the latest data technologies into existing requirements
  • Follow best practices and standards in machine learning
  • Peer review machine learning models, and advise on shortfalls and improvement
  • Provide guidance to junior machine learning engineers and the general team (where
  • applicable)

  • Present complex machine learning concepts and results to both technical and non-technical audiences
  • Skills and Experience

    Essential :

  • 4-year Degree / NQF level 7 in IT and Computer Sciences
  • EXPERIENCE : Essential :

    Essential :

  • At least 3 years of Machine Learning experience
  • At least 3 years of Data Science experience
  • KNOWLEDGE AND SKILLS :

    Essential :
  • Python
  • Python
  • Probability and Statistics
  • Prescriptive Modeling
  • Advantageous :

  • Cloud Platform (AWS)
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