Sandton Salary: R444 800 to R544 428 per annum If you have not received any feedback from us within 5 working days please consider your application unsuccessful. By sending your CV along with other additional documents you give consent to HWR to process and retain your personal information for the c
storyboard learning activities with high impact training materials, and assessments aligned with learning objectives and interactive learning content using various tools and technologies Develop e-learning modules, instructor-led instructor-led presentations, job aids, and micro-learning materials Create supporting material/media (audio practices in learning technologies with instructional design (ie: Micro-learning and Mobile learning) Utilize Integrating AI, VR and AR capabilities into a blended learning approach Managing multiple stakeholders and being
storyboard learning activities with high impact training materials, and assessments aligned with learning objectives interactive learning content using various tools and technologies. · Develop e-learning modules, instructor-led instructor-led presentations, job aids, and micro-learning materials. · Create supporting material/media practices in learning technologies with instructional design (ie: Micro-learning and Mobile learning) · Utilize Integrating AI, VR and AR capabilities into a blended learning approach · Managing multiple stakeholders and
science and machine learning models; develop cutting-edge data science and machine learning models that drive cross-functional teams to apply data science and machine learning models to business problems, ensuring that models Science, Learning & Computer Science. 5 years of experience in data science and machine learning, with background, with expertise in a range of machine learning algorithms data science techniques. Strong experience experience in delivery across the lifecycle of machine learning products, adhering robust software engineering
skills and encourage curiosity and a passion for learning, alongside credentials and work experience, to curating, and analyzing datasets and training machine learning models within the Conversational AI platform. inherent in open-ended conversations. Willingness to learn and develop on the job, supported by colleagues delivery/implementation. General understanding of machine learning core concepts (classification, clustering, accuracy underfitting). Experience applying supervised machine learning techniques to real-world problems. Decent understanding
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customers with convenience and maximise their earning potential. With a footprint in other African countries
alleviate debt burdens, enabling shoppers to pay as they earn, free from the threat of accumulating charges. With
forecasting project completion dates using robust earned value management practices. Continuously analysing