Software Developer: Artificial Intelligence (Ai)

SOFTWARE DEVELOPER: ARTIFICIAL INTELLIGENCE (AI) KEY RESPONSIBILITIES: 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 domains; QUALIFICATIONS, SKILLS AND EXPERIENCE: A Bachelors degree in computer science/engineering, electrical/electronic engineering, information technology or related field with at least three years experience in Artificial Intelligence/Machine Learning (ML) and software development in Artificial Intelligence Technologies; An Honours or Masters degree will be advantageous; Applied machine-learning with regression, classification, etc. models for supervised learning; Big-data unsupervised learning; Data platform engineering; Building AI models with a deep learning framework such as TensorFlow, Keras or Theano; 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; SS-F-HR-363 REV10 Advert template Cloud-based platforms: AWS, IBM Cloud, Azure; Understanding of transforming/implementing software/algorithms for use in real-life systems; Select hardware to run an ML model with the required latency; Supervise/mentor/develop junior staff; Must have knowledge and/or experience of object-orientated software engineering; 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. Strong quantitative skills (mathematics/statistics/computer science); All international qualifications require an evaluation report / certificate issued by the South African Qualifications Authority (SAQA).