172 Artificial Intelligence jobs in South Africa

• Bachelor’s degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, Engineering, Bioinformatics, Healthcare Informatics, or a related field.
• Strong foundation in AI, machine learning, and data analytics.

• Master’s degree or PhD in AI, Data Science, Healthcare Informatics, or a related discipline (especially for senior roles).
• Certifications in AI/ML, Cloud Computing, or Data Science, such as:
• Google Cloud AI/ML Certification
• Microsoft Certified: Azure AI Engineer Associate
• AWS Certified Machine Learning – Specialty
• TensorFlow Developer Certification
• IBM AI Engineering Certification

• 3–5 years of experience in AI, machine learning, data science, or related fields.
• Hands-on experience in developing and deploying AI models.
• Experience in predictive analytics, sales forecasting, and commercial strategy using AI.
• Experience with data platforms, cloud environments, and database management.
• Experience in automating business processes using RPA or AI-driven workflow tools.

• Exposure to healthcare and pharmaceutical industry standards, data privacy, and compliance.
• Direct experience in AI applications for medical imaging, diagnostics, or clinical trials.
• Prior work in AI-based patient engagement tools or personalized medicine.

• AI & Machine Learning:
  • Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, Keras).
  • Experience in natural language processing (NLP), deep learning, and computer vision.
• Programming & Development:
  • Strong knowledge of Python, R, SQL, and/or Java for AI model development.
  • Experience with big data technologies (Spark, Hadoop) is a plus.
• Cloud & Data Platforms:
  • Experience in cloud-based AI deployment (AWS AI/ML, Azure AI, Google Cloud AI).
  • Hands-on experience with data pipelines, ETL processes, and real-time data processing.
• Business & Analytical Skills:
  • Strong ability to analyze large datasets and provide data-driven business insights.
  • Ability to develop AI-driven commercial strategy, sales forecasting, and market analytics models.

• Work Environment:
  • Ability to work in a fast-paced, technology-driven environment.
  • Flexibility to collaborate with cross-functional teams.
  • Strong project management and multitasking skills.
• Tools & Platforms:
  • Proficiency in BI and analytics tools.
  • Experience in Robotic Process Automation (RPA) tools is a plus.

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POSITION INFO:

Are you a forward-thinking AI professional passionate about shaping intelligent solutions with real-world impact? Our client is looking for an Artificial Intelligence (AI) Engineer to join their high-impact team, dedicated to developing and deploying cutting-edge AI applications across complex industries such as energy, logistics, and finance.

Artificial Intelligence (AI) Engineer

Recruiter:

WatersEdge Solutions

Job Ref:



Date posted:

Wednesday, June 11, 2025

Location:

Johannesburg, South Africa

SUMMARY:

POSITION INFO:

Are you a forward-thinking AI professional passionate about shaping intelligent solutions with real-world impact? Our client is looking for an Artificial Intelligence (AI) Engineer to join their high-impact team, dedicated to developing and deploying cutting-edge AI applications across complex industries such as energy, logistics, and finance.

About The Role

This is an exciting opportunity for a highly skilled AI Engineer to contribute to both hands-on development and strategic innovation. You’ll play a key role in research-driven implementation, solution design, and full lifecycle AI model deployment. Reporting into senior technical leadership, you'll help shape the future of the organisation’s AI capability.

Key Responsibilities

• AI Model Development: Design, develop, and deploy machine learning and generative AI models, with a focus on semi-supervised learning and open-set recognition.
• Cross-Functional Integration: Collaborate with business units to ensure AI solutions align with strategic objectives.
• Research & Prototyping: Lead and contribute to real-time AI application research and prototyping in complex domains.
• Lifecycle Ownership: Oversee AI development from data ingestion through to deployment, monitoring, and performance optimisation.
• Architecture & Strategy: Contribute to high-level platform architecture and AI strategy.
• Knowledge Sharing: Document processes, share insights, and contribute to internal technical education.
• Ethical AI Compliance: Ensure solutions adhere to responsible AI standards and legal frameworks.
  
  

• PhD, Master’s, or Honours degree in Artificial Intelligence, Machine Learning, Computer Science, or a related field
• 3+ years of hands-on experience developing and deploying AI/ML solutions
• Proficiency in Python, including TensorFlow, PyTorch, and Scikit-learn
• Strong knowledge of generative AI, machine learning, and data science
• Experience in deploying AI solutions on cloud platforms such as AWS or Google Cloud
• Excellent communication, problem-solving, and cross-functional collaboration skills
  
  

• Experience in smart grid systems, automation, or data-intensive domains
• Background in AI research or academic publishing
• Contributions to open-source AI projects or community initiatives
• Familiarity with AI governance and compliance
  
  

• Competitive market salary
• Growth opportunities in a dynamic and innovation-driven environment
• Collaborative culture with support for technical development and research
• Opportunity to make meaningful impact in industries undergoing digital transformation
  
  

• Innovation-First Mindset – Always looking to build smarter, faster, and better.
• Collaborative Culture – Strong focus on teamwork and cross-functional partnerships.
• Integrity in AI – Committed to ethical, responsible use of emerging technologies.
• Real-World Impact – Dedicated to solving real problems with scalable AI solutions.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Advertising Services

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Are you a forward-thinking AI professional passionate about shaping intelligent solutions with real-world impact? Our client is looking for an Artificial Intelligence (AI) Engineer to join their high-impact team, dedicated to developing and deploying cutting-edge AI applications across complex industries such as energy, logistics, and finance.

About the Role

This is an exciting opportunity for a highly skilled AI Engineer to contribute to both hands-on development and strategic innovation. You’ll play a key role in research-driven implementation, solution design, and full lifecycle AI model deployment. Reporting into senior technical leadership, you'll help shape the future of the organisation’s AI capability.

Key Responsibilities

• AI Model Development: Design, develop, and deploy machine learning and generative AI models, with a focus on semi-supervised learning and open-set recognition.

• Cross-Functional Integration: Collaborate with business units to ensure AI solutions align with strategic objectives.

• Research & Prototyping: Lead and contribute to real-time AI application research and prototyping in complex domains.

• Lifecycle Ownership: Oversee AI development from data ingestion through to deployment, monitoring, and performance optimisation.

• Architecture & Strategy: Contribute to high-level platform architecture and AI strategy.

• Knowledge Sharing: Document processes, share insights, and contribute to internal technical education.

• Ethical AI Compliance: Ensure solutions adhere to responsible AI standards and legal frameworks.

Skills & Experience

Must-Have:

• PhD, Master’s, or Honours degree in Artificial Intelligence, Machine Learning, Computer Science, or a related field

• 3+ years of hands-on experience developing and deploying AI/ML solutions

• Proficiency in Python, including TensorFlow, PyTorch, and Scikit-learn

• Strong knowledge of generative AI, machine learning, and data science

• Experience in deploying AI solutions on cloud platforms such as AWS or Google Cloud

• Excellent communication, problem-solving, and cross-functional collaboration skills

Preferred:

• Experience in smart grid systems, automation, or data-intensive domains

• Background in AI research or academic publishing

• Contributions to open-source AI projects or community initiatives

• Familiarity with AI governance and compliance

Compensation & Benefits

• Competitive market salary

• Growth opportunities in a dynamic and innovation-driven environment

• Collaborative culture with support for technical development and research

• Opportunity to make meaningful impact in industries undergoing digital transformation

Company Culture & Values

• Innovation-First Mindset – Always looking to build smarter, faster, and better.

• Collaborative Culture – Strong focus on teamwork and cross-functional partnerships.

• Integrity in AI – Committed to ethical, responsible use of emerging technologies.

• Real-World Impact – Dedicated to solving real problems with scalable AI solutions.

If you have not been contacted within 10 working days, please consider your application unsuccessful.

We are looking for a Senior Artificial Intelligence Engineer in the Emerging Digital Technologies for fourth Industrial Revolution (EDT4IR) Research Centre within the Next Generation Enterprises and Institutions Cluster. The incumbent will be responsible to design, develop and implement AI systems architecture and solutions. This position is based in Pretoria and will report to the Research Group Leader.

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.
  
  

• 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;
  
  

• Artificial Intelligence
  
  

• 5 to 10 years
  
  

• Degree
  
  

The AI Specialist role will be centered around the following functions: a) Leveraging AI and machine learning, focusing on automating manual processes, improving data analysis and deploying AI-powered solutions for electoral, research and administrative functions. b) Developing and implementing an AI strategy aligned with organisational goals c) AI adoption road-map and implementation plan d) Identifying manual processes that can be automated using AI d) Deploying scalable, cloud-based AI solutions integrated with existing systems.

The Council for Scientific and Industrial Research (CSIR) is a leading scientific and technology research organisation that research, develops, localises and diffuses technologies to accelerate socio-economic prosperity in South Africa. The organisation's work contributes to industrial development and supports a capable state. The CSIR has a vacancy for a Senior Artificial Intelligence (AI) Engineer in the

The Council for Scientific and Industrial Research (CSIR) is a leading scientific and technology research organisation that researches, develops, localises and diffuses technologies to accelerate socio-economic prosperity in South Africa. The organisations work contributes to industrial development and supports a capable state.

Senior Artificial Intelligence (AI) Engineer

About The Job

The CSIR has a vacancy for Senior Artificial Intelligence Engineer in the Emerging Digital Technologies for fourth Industrial Revolution (EDT4IR) Research Centre within the Next Generation Enterprises and Institutions Cluster. The incumbent will be responsible to design, develop and implement AI systems architecture and solutions. This position is based in Pretoria and will report to the Research Group Leader.

For more information about the cluster, please visit 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.
  
  

• A Bachelors 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 Masters 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;
  

• Flexible hybrid work arrangement;
• Learning and development opportunities.
• Competitive and market-related remuneration packages.
• Total guaranteed salary packages which encompass contributions to the pension fund, risk insurance and medical scheme.
• We openly acknowledge and reward our employees' contributions and accomplishments through our esteemed CSIR Excellence Awards.
  
  

Lead, Artificial Intelligence & Machine Learning Engineer

Job Overview

Business Segment: Group Functions

Location: ZA, GP, Johannesburg, Baker Street 30

To shape the Standard Bank Group (SBG) artificial intelligence (AI) strategy and drive the creation of AI and machine learning (ML) solutions and projects; prioritising the delivery of new AI initiatives. To apply deep domain expertise in driving the AI strategy to enable SBG to be a business and thought leader in its desired markets.

Qualifications

• Masters Degree in Information Technology
• 8 - 10 Years' experience in the Artificial Intelligence and Machine Learning area