Presentation Psychometric Assessments The is a 2 year learnership programme. Stipend: R 10,000 per month The post
Line: The candidate will report to the Information Technology Operations Manager. Purpose: To be responsible strengthen controls. Qualifications: - An Information Technology Diploma / Degree - MCSE/MCSA or equivalent qualifications - VMware or similar Virtualised Technology Certification - Microsoft SQL Administration server environment (Physical & Virtualised technologies) including hardware, operating systems and control Engineering incorporating Cisco Appliances, WAN, LAN technologies, Network Topologies, Routing, Switching and
Westville Durban. Job Purpose: Supervises information technology (IT) support staff; oversees computer system Coordinates training and orientation for new technology users and helps them become familiar with equipment networks, Ensures all users benefit from effective technology and efficient Internet access, and continually if necessary. Establishes relationships with technology and component vendors ● Oversees IT support department or security failure to ensure preservation of technology and data The post IT Support Manager appeared
crucial role in enhancing our data strategy and technology stack, incorporating advanced AI capabilities technical expertise, and experience with AI technologies. - Data Analysis and Reporting: - Develop and and Technology Advancement: - Lead initiatives to integrate AI and machine learning technologies into updated with the latest advancements in AI and BI technologies and assess their potential impact on the business trends and advancements in BI and AI tools and technologies. - Project Management: - Lead BI and AI projects
team. Identify and integrate emerging information technologies. Update system documentation with each each version release. Evaluate new computing technologies for potential company value. Ensure data integrity Collaborate with managers on operations impacted by information processing. Advise senior management on strategic
play a pivotal role in shaping data strategy and technology infrastructure, directly contributing to the technical expertise, and a deep understanding of AI technologies. Leveraging at least 5 years of leadership experience senior management and stakeholders, facilitating informed decision-making. As a proactive and detail-oriented of emerging technologies. Qualifications: Bachelor's degree in Computer Science, Information Systems, or processes. Experience with AI and machine learning technologies and their application in business contexts.
Department: Business Intelligence Reports to: Chief Information Officer (CIO) A dynamic debt is looking for a in enhancing the company's data strategy and technology stack, integrating advanced AI capabilities to technical expertise, and experience with AI technologies. Salary is commensurate with experience. Data AI and Technology Advancement: Lead initiatives to integrate AI and machine learning technologies into updated with the latest advancements in AI and BI technologies and assess their potential impact on the business
crucial role in enhancing its data strategy and technology stack, incorporating advanced AI capabilities technical expertise, and experience with AI technologies. The ideal candidate must have a Bachelor's Bachelor's Degree in Computer Science/Information Systems, or similar discipline with at least 5 years of experience and Technology Advancement – Lead initiatives to integrate AI and machine learning technologies into updated with the latest advancements in AI and BI technologies and assess their potential impact on the business
Learning technologies, with a solid understanding of Contact Centre processes and technology to join dynamic KZN. MUST HAVE: B Degree - Computer Science / Information Systems or related 5 years experience in leading Machine learning technologies Solid understanding of contact centre processes & technology Proficient in solutions DUTIES: Enhance data strategy & technology stack Incorporate advanced AI capabilities to initiatives to integrate AI and machine learning technologies into BI framework Data management - data integrity