Requirements:
An Honours or Masters degree will be advantageous;
Experience in the following:
- Applied machine-learning with regression, classification, models for supervised learning;
- Big-data unsupervised learning;
- Data platform engineering;
- Building AI models with a deep learning framework such as TensorFlow, Keras or Theano;
- Bringing theoretical machine-learning approaches illustrated in academia research papers to actual implementations, i.e. implemented and deployed into large-scale production system certain advanced ML and applied ML algorithms;
The following knowledge will be advantageous:
- Cloud-based platforms: AWS, IBM Cloud, Azure;
- Understanding of transforming/implementing software/algorithms for use in real-life systems;
Must be able to:
- Select hardware to run an ML model with the required latency;
- Supervise/mentor/develop junior staff;
- Must have knowledge and/or experience of object-orientated software engineering;
- Have strong quantitative skills (mathematics/statistics/computer science);
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