Job Description

• 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 Bachelors 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 Masters degree will be advantageous;
• Experience in the following:

• 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 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;
• Cloud-based platforms: AWS, IBM Cloud, Azure;
• Proficiency and experience building AI models with a deep learning framework such 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;
• Strong quantitative skills (mathematics/statistics/computer science);
• 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;