Software Developer-Artificial Intelligence at CSIR

About the position

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 Bachelor's 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 Master's degree will be advantageous;
- Experience in the following:
o Applied machine-learning with regression, classification, etc. models for supervised learning;
o Big-data unsupervised learning;
o Data platform engineering;
o Building AI models with a deep learning framework such as TensorFlow, Keras or Theano;
o 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;

• The following knowledge will be advantageous:
  o Cloud-based platforms: AWS, IBM Cloud, Azure;
  o Understanding of transforming/implementing software/algorithms for use in real-life systems;
• Must be able to:
  o Select hardware to run an ML model with the required latency;
  o 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, selfmanagement (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).

Desired Skills:

• Analytical thinker

Desired Qualification Level:

• Degree