About the position
Key responsibilities:
Desired Skills:
- o Building multimodal models
- o Unstructured data
- o Big-data unsupervised learning
- o Data platform engineering
- o Cloud-based platforms
- AWS
- IBM Cloud
- Azure
Desired Work Experience:
- 5 to 10 years
About The Employer:
Qualifications, skills and experience:
- 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;
- 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;