The Council for Scientific and Industrial Research (CSIR) is one of the leading scientific and technology research, development and implementation organisations in Africa. Constituted by an Act of Parliament in 1945 as a science council, the CSIR undertakes directed and multidisciplinary research, technological innovation as well as industrial and scientific...
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Lead the design and development of complex software systems and architectures;
Design, implement, and optimise Artificial Intelligence (AI)/Machine Learning (ML) driven solutions and pipelines;
Drive technical decision-making for research and development platforms;
Collaborate with researchers to translate research concepts into software;
Oversee code quality, testing practices, and system performance;
Integrate software with sensors, data sources, and external systems;
Contribute to technical reporting and research outputs;
Evaluate emerging technologies and recommend adoption where appropriate.
Proactively research technologies, developments, tool improvements and their processes as well as deployments to ensure increased productivity;
Contribute to proposal development to secure funding for the research group;
Lead the development of research publications;
Mentor and provide technical guidance to junior engineers and students.
Qualifications, skills and experience:
An Honours degree in computer science/engineering, software engineering or related fields with at least five years' experience in software development focusing in artificial intelligence and machine learning;
A Master's degree will be advantageous;
Solid understanding and practical experience in AI and/or machine learning;
Significant professional experience in software engineering;
Strong proficiency in one or more programming languages (e.g. Python, C++, Java);
Proven experience designing and maintaining large or complex software systems;
Experience with data processing, algorithm development, and model evaluation;
Strong systems thinking and problem-solving ability;
Experience working in research, experimental, or innovation-driven environments;
Ability to lead technical workstreams and mentor less experienced staff;
Excellent written and verbal communication skills.
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