Job Description
About the Role
We are seeking an experienced AI Transformation Lead to lead and mentor a cross-functional squad of engineers, developers, analysts, and data scientists in driving Agile delivery practices for timely and high-quality deployment of AI solutions. The successful candidate will own the technical roadmap for AI production, including MLOps, LLMOps, and scalable cloud infrastructure, and champion best practices in CI/CD, testing, observability, and operational resilience for ML and LLM solutions.
Key Responsibilities
- Lead and mentor a cross-functional squad of engineers, developers, analysts, and data scientists
- Drive Agile delivery practices to ensure timely, high-quality deployment of AI solutions
- Own the technical roadmap for AI production, including MLOps, LLMOps, and scalable cloud infrastructure
- Oversee architectural decisions related to model deployment, data pipelines, and cloud-native solutions
- Translate AI and data science prototypes into production-ready applications
- Implement monitoring, alerting, and incident response processes for AI systems in production
- Champion best practices in CI/CD, testing, observability, and operational resilience for ML and LLM solutions
- Collaborate with platform and infrastructure teams to ensure seamless system integration and scalability
- Influence the velocity, reliability, and quality of AI delivery across the organisation
Requirements
- Master’s degree in computer science, Engineering, or a related field (*Transcript Required)
- 12 years’ experience in software engineering, data engineering, or AI production environments
- Minimum 4 years’ experience in Machine Learning
- Proven delivery of at least 3 large AI projects into production
- Strong hands-on AI Operations and MLOps experience
- Cloud platform experience (GCP preferred, other platforms considered)
- Strong leadership and stakeholder interfacing capability
- Proven experience leading technical teams and delivering complex, enterprise-scale solutions
Qualifications
- Postgraduate qualification in AI, Data Science, or Systems Engineering (advantageous)
Salary & Benefits
- Salary details not specified
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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