Senior Artificial Intelligence (Ai) Engineer About The Job :

Tipp Focus (Pty) Ltd; Pretoria; On-site; ZAR 600 000 - 900 000; Full time

Job summary

A dynamic technology company is seeking an experienced AI Specialist to develop innovative solutions and implement AI systems architecture. The ideal candidate will have a Bachelor's degree in a related field, 5-10 years of experience in AI, and proficiency in tools like TensorFlow and AWS. This role offers the chance to mentor junior staff and work with cutting-edge technologies in Pretoria, South Africa.

Qualifications

• 5 to 10 years of experience in Artificial Intelligence/Machine Learning.
• Experience in applied machine-learning with regression, classification, etc.
• Demonstrated experience in bringing theoretical ML approaches to implementations.

Responsibilities

• Develop innovative solutions in AI and remain current with new technologies.
• Design, develop, and implement AI systems architecture and solutions.
• Supervise/mentor junior staff in the area(s) of expertise.

Skills

Building multimodal models

Unstructured data

Big-data unsupervised learning

Data platform engineering

Cloud-based platforms

AWS

IBM Cloud

Azure

Education

Bachelor's degree in computer science/engineering or related field

Honours or Master's degree

Tools

TensorFlow

Keras

Theano

Job description

Key Responsibilities

• 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.

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:
• 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;