Trainer Mbombela, Mpumalanga Province - South Africa
Zakheni ICT Ltd
About us: ZTQ Solutions is a privately owned training provider formed by specialists in training and computer technology solutions. Our primary focus is on empowering people in the technology market by addressing entry-level skills and enhancing their talent. We also focus on a range of other technology-related products and services that build capacity in organisations and individuals. We are in search of trainer to train a learnership on 48872 National Certificate: Information Technology (Systems Development) - Level 5 focusing on Data Science. Job Title: Trainer System Development (Data Science) Location: Mbombela, Mpumalanga Province Duration: 12 Months Start date: 1 May 2024 or soonest thereafter. Required Application Documents: A comprehensive curriculum vitae with two recent contactable references All relevant teriary-level qualifations, zipped together with Academic Record(s) or Transcript. RSA ID document or passport and proof of residents status - as required Documentation confirming registration as an Assessor To apply: Log on to https://www.t-lms.com . Click on the "Register" link. Enter the code : 17429 Select the Job option called : Trainer - System Dev 48872. Proceed to complete the online form. When asked, upload a copy of your zipped CV. When asked, upload a copy of your zipped teriary level qualifications, academic records or transcripts and proof of registration as an Assessor. When asked upload a copy of your zipped RSA ID or passport and resident's status. Have NQF Level 5 qualification or above information Technology or related qualification. Have experience delivering 48872 National Certificate : Information Technology (System Development) - Level 5 Have at least two years training delivery experience Be accredited as an Assessor with the MICT SETA for 48872 National Certificate : Information Technology (Systems Development) at Level 6 or any other equivalent qualification at Level 6. Have some experience with or qualifications in the field of Data Science or related fields.
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