motivated and experienced Chief Technology Officer (CTO) to lead their technology vision and strategy. As CTO will be responsible for all aspects of their technology infrastructure, including enterprise systems transformation across the organization, ensuring that technology is aligned with their business goals and objectives
Develop and implement a long-term technology vision and strategy that aligns with the company's
Lead the development and implementation of new technologies and applications that improve efficiency, productivity
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 the BI framework. - Collaborate with IT and data science teams to develop and deploy AI models that improve updated with the latest advancements in AI and BI technologies and assess their potential impact on the business
area Qualifications Bachelors degree in Computer Sciences or Engineering Project Management shortcourse environment Experience working with Microsoft Technologies Required skills Perform unit testing of programs Coding languages (C#, Web Technologies, Visual Studio, SQL) Microsoft Technologies Manage the gathering,
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 the BI framework. Collaborate with IT and data science teams to develop and deploy AI models that improve updated with the latest advancements in AI and BI technologies and assess their potential impact on the business
up-to-date with the latest developments in data science, machine learning, and analytical techniques, and incorporate them into the organization's data science practice. Qualifications and Requirements: Master's Ph.D. in a quantitative field such as Computer Science, Statistics, Applied Mathematics, or a related discipline. Minimum of 3 years of experience in data science, machine learning, or a related field. Strong programming such as Python, R, SQL, and experience with data science tools and frameworks (e.g., TensorFlow, Scikit-learn
Learning technologies, with a solid understanding of Contact Centre processes and technology to join dynamic organization in KZN. MUST HAVE: B Degree - Computer Science / Information Systems or related 5 years experience 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
high-level backend languages, front-end web technologies and large-scale databases. Able to work with with both legacy code and new technologies, Experience in not just coding but good software design. Software Typescript, DB Administrator, MySQL BSc in Computer Science or equivalent qualification Drivers licence and
A dynamic, diversified technology company operating across 19 countries is seeking a highly skilled and languages. Bachelor's or Master's degree in Computer Science preferred but not required 7 years professional
field (such as Management Science, Statistics, Data Science, or Computer Science) Min 7 years of experience related field (Management Science, Statistics, Data Science, or Computer Science), an equivalent experience MySQL or PostgreSQL, and BigQuery or a similar technology, preferably in a high-load environment. Advantageous
solutions. Bachelor's degree or higher in Computer Science, IT, Engineering or, Mathematics 7 years' experience Experience working with various relational database technologies like MS SQL, MySQL, PostgreSQL as well as NoSQL Azure Synapse Analytics Experience of Big Data technologies such as Hadoop, Spark and Hive At least 5 years' working with Big Data Cloud based (AWS, Azure etc) technologies is advantageous