Develop innovative solutions in AI and remain well-versed in new technologies in the evolving AI space.
Supervise/mentor junior staff in the area(s) of expertise.
Generate and contribute towards science engineering and technology (SET) activity outputs e.g., reports, guidelines, system requirements, peer-reviewed publications, and technology and software packages.
Understand and interpret client requirements by contributing to user requirement analysis and/or well-articulated proposals.
Remain current in field of expertise with respect to new approaches in tools, methods or technologies.
Participate in external task teams or committees in relevant domain
QUALIFYING ATTRIBUTES
Qualifications
A Bachelor’s degree in computer science/engineering, electrical/electronic engineering, information technology
An Honours or Master’s degree will be advantageous
Experience
5 years’ experience in Artificial Intelligence/Machine Learning and software development in Artificial Intelligence Technologies
Applied machine-learning with regression, classification, etc. models for supervised learning
Natural language processing and understanding
Large language models
Building multimodal models
Unstructured data
Big-data unsupervised learning
Data platform engineering Demonstrated experience in bringing theoretical machine-learning poaches
Data platform engineering
Demonstrated experience in bringing theoretical machine-learning approaches.
illustrated in academia research papers to actual implementations, i.e. implemented ML algorithms
Cloud-basedplatforms:AWS,IBMCloud,Azure
Proficiency and experience building AI models with a deep learning framework such as TensorFlow, Keras or Theano
Skills and Knowledge
Ability to select hardware to run an ML model with the required latency as TensorFlow, Keras or Theano
Ability to select hardware to run an ML model with the required latency
Exposure to Project Management
Understanding of transforming/implementing software/algorithms for use in real-life systems would be advantageous
Knowledge of programming in modern object orientated languages, with Open-Source development tools and platforms
Ability to demonstrate Object-orientated software engineering skills
Demonstrated ability to supervise/mentor/develop junior staff
Demonstrated skills in: analytical thinking, flexibility and adaptability, investigative orientation, planning and organising, problem solving, verbal and written communication, teamwork, self- management (planning, prioritising and time management – includes the ability to work independently), systems level thinking, multi-disciplinary knowledge.
All international qualifications require an evaluation report / certificate issued by the South African Qualifications Authority (SAQA).