About the position
Key responsibilities: Qualifications, skills and experience:
- Develop innovative solutions in AI and remain well-versed in new technologies in the evolving AI space;
- design, develop and implement AI systems architecture and solutions
- 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 domains;
- A Bachelor's degree in computer science/engineering, electrical/electronic engineering, information technology or related field with at least five years' experience in Artificial Intelligence/Machine Learning and software development in Artificial Intelligence Technologies;
- An Honours or Master's degree will be advantageous;
- Experience in the following:o Applied machine-learning with regression, classification, etc. models for supervised learning;o Natural language processing and understanding, Large language models;o Building multimodal models;o Unstructured data;o Big-data unsupervised learning;o Data platform engineering;o Demonstrated experience in bringing theoretical machine-learning approaches illustrated in academia research papers to actual implementations, i.e. implemented and deployed into large-scale production system certain advanced ML and applied ML algorithms;
o Cloud-based platforms: AWS, IBM Cloud, Azure;
o Proficiency and experience building AI models with a deep learning framework such as TensorFlow, Keras or Theano;
o Ability to select hardware to run an ML model with the required latency;
Desired Skills:
- Analytical thinker
Desired Qualification Level:
- Degree