Job Description
About the Role
We are seeking a highly skilled Machine Learning Engineer to join our team in Johannesburg. As a key member of our AI engineering team, you will be responsible for designing, developing, and deploying cutting-edge AI solutions that drive business value and improve user experience.
Key Responsibilities
- Identify, evaluate, and prioritize AI/ML use cases across the business and translate them into deployable solutions.
- Design, develop, and deploy AI models and intelligent applications using Python, Azure AI Services, Azure OpenAI, and related frameworks.
- Build and fine-tune Large Language Model (LLM) solutions, including Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, and AI agents.
- Develop predictive models, classification systems, computer vision pipelines, and intelligent document processing solutions where applicable.
- Manage the full AI solution lifecycle: data exploration, model development, testing, deployment, monitoring, and continuous improvement.
- Embed AI capabilities into existing Microsoft Power Platform solutions (Power Apps, Power Automate, Power BI, Power Pages, Dataverse) using AI Builder, Azure AI Foundry, and custom connectors.
- Integrate AI services into current line-of-business systems through APIs, custom connectors, Azure Functions, and Logic Apps.
- Enhance Power BI reporting with AI-driven insights, forecasting, anomaly detection, and natural-language Q&A.
- Build Copilot Studio agents and conversational interfaces that interact with internal systems and data sources.
Requirements
- Relevant Degree or Diploma in Computer Science, Data Science, Artificial Intelligence, Information Systems, Engineering, or a related field.
- Certifications such as Microsoft Certified: Azure AI Engineer Associate, Azure Data Scientist Associate, or equivalent (preferred but not mandatory).
- Minimum 3 years of experience in AI/ML engineering, data science, or building AI-enabled solutions in a production environment.
Qualifications
- Formal education/certifications in Computer Science, Data Science, Artificial Intelligence, Information Systems, Engineering, or a related field.
How to Apply
Click the green “Go Apply” button below to apply directly online with the employer.
About IT / Computing / Software Jobs in Gauteng
In Gauteng, the IT and computing industry is a significant contributor to the province’s economy, with a steady demand for skilled professionals. Typically, this field is characterized by rapid technological advancements, innovative projects, and a high level of job satisfaction among employees. Generally, career prospects in this sector are strong, with a range of opportunities available across various industries.
Salaries for IT and computing professionals in Gauteng can vary widely depending on factors such as experience, company size, and industry sector. While it is common to see salaries ranging from R400 000 to R1,200 000 per annum, these figures are only a general guideline and actual salaries may differ significantly. For instance, senior executives or technical leads with extensive experience may command higher salaries, while entry-level positions may start at lower levels.
Common skills required for IT and computing roles in Gauteng include proficiency in programming languages such as Java, Python, or C++, knowledge of cloud platforms like AWS or Azure, and experience with agile development methodologies. Additionally, understanding of data analysis and interpretation, cybersecurity principles, and IT project management are often essential. Familiarity with popular software applications, such as Microsoft Office 365 or Google Workspace, is also beneficial.
The financial services sector, technology industry, manufacturing sector, and government departments are among the common industries that employ IT and computing professionals in Gauteng. These sectors require a range of skills and expertise, from data analysis to network administration, making them attractive options for career development.
For those seeking a career in IT and computing, there are numerous opportunities for professional growth and development. Typically, career progression involves moving into senior roles or specialized positions, such as technical lead, solutions architect, or data scientist. Opportunities for further education and training, such as certifications or postgraduate studies, can also enhance job prospects. Generally, a strong understanding of industry trends, networking, and continuous learning are essential for success in this field.
This information provides general career guidance. Actual salaries and requirements vary by employer.
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