Senior AI Developer

SUMMARY:

• 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 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.

POSITION INFO:
Requirements:
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:
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;