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Information Technology, Computing and Artificial Intelligence at The Open University of Kenya

Full time @The Open University of Kenya posted 1 week ago in Education/Training , in IT/Telcom
  • Konza, Kalama ward, Machakos Town, Machakos County..., 01000 View on Map
  • Post Date : March 10, 2026
  • Apply Before : June 29, 2026
  • Salary: Ksh60,000.00 - Ksh180,000.00 / Monthly
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Job Detail

  • Job ID 9908
  • Offered Salary  1000
  • Career Level  Others
  • Experience  4 Years
  • Gender  Both
  • Industry  IT/Telcom
  • Qualifications  Diploma/Degree/Masters
  • State  Konza
  • City  Konza

Job Description

Information Technology, Computing and Artificial Intelligence at The Open University of Kenya

Area of Specialisation(s)

  • Computer Vision and Image Analysis
  • Natural Language Processing
  • Responsible and Explainable AI
  • Large Language Models (LLMs) and Generative AI
  • Data Management
  • Database Administration
  • Big Data Analytics with Apache Hadoop
  • Data Governance, Ethics and Law
  • System Analysis and Design
  • Web Application Programming
  • Secure Software Development
  • Information Systems Control and Audit
  • Cybersecurity Law and Ethics
  • Internet Technologies

Required Qualifications and Competencies

For appointment, one MUST have:

  • Apply online through the university online link herein (Apply Now) and upload: An updated CV (to include full academic details, professional qualifications, and experience, membership with professional bodies, names and addresses of three referees), copies of your ID/Passport, academic certificates and testimonials.
  • An earned Ph.D. or equivalent degree qualification in the relevant field from accredited University; OR A Master’s degree in the relevant field from accredited University (in special cases) with at least three (3) years teaching experience at university level and registered in good standing for PhD in the relevant field.
  • Be computer literate with ability to handle digital content (for all posts) and ability to support student online (for part-time lecturers).

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