Job Description
- 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.
- Represent the AI Enablement capability in strategic forums and contribute to organisation-wide innovation.
What we are looking for:
- 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.
- Advanced proficiency in Python, SQL, and cloud-native development.
- Hands-on experience with CI/CD pipelines, containerisation (Docker, Kubernetes), and infrastructure-as-code.
- Strong system design, architectural, and problem-solving skills.
- Excellent communication skills with the ability to articulate complex technical concepts clearly to diverse stakeholders.
- Ownership mindset with resilience, adaptability, and a results-driven approach.
Advantageous experience:
- Postgraduate qualification in AI, Data Science, or Systems Engineering.
- Exposure to platforms and tools such as Vertex AI, BigQuery, Cloud Composer, and Kubeflow.
Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.
How to Apply
Click the green “Go Apply” button below to apply directly online with the employer.
About Automotive Technician Jobs in Gauteng
The automotive technician industry in Gauteng is a significant sector, with many opportunities available to those passionate about the mechanics of vehicles. Generally, job seekers can expect a stable and diverse job market, with common positions including service technicians, mechanic supervisors, and vehicle inspectors.
Typically, salaries for automotive technicians in Gauteng are within the R400 000 – R800 000 per annum range, depending on factors such as experience, company size, and industry sector. For example, entry-level technicians may start around R300 000, while senior technicians with significant experience can earn upwards of R700 000. However, it’s essential to note that salaries can vary widely, and actual figures will depend on individual circumstances.
Common skills required for automotive technician roles include mechanical aptitude, problem-solving abilities, and excellent communication skills. Additionally, proficiency in diagnostic software, electrical system knowledge, and the ability to work with a variety of vehicle makes are often highly valued. Other essential skills may include attention to detail, time management, and teamwork.
The automotive sector is a diverse industry, employing technicians in various sectors such as financial services, technology, and manufacturing. Financial institutions, for instance, require technicians who can work on luxury vehicles, while the technology industry demands expertise in electric and hybrid vehicles.
Career development opportunities are plentiful in this field. Typically, technicians can progress to senior roles or move into management positions, overseeing teams of technicians. Some may also choose to specialize in specific areas, such as diesel engine repair or vehicle inspection. Others may opt for further education and training, pursuing careers in automotive engineering or related fields.
This information provides general career guidance. Actual salaries and requirements vary by employer.
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