Job Description
- Architect, develop, and maintain high-performance Python applications supporting AI and machine learning use cases.
- Lead peer code reviews and enforce best practices in software engineering and coding standards.
- Design, build, and manage ELT/ETL data pipelines in massively parallel processing environments (e.g. Spark, Ray, or similar).
- Oversee the full machine learning model lifecycle, including deployment, monitoring, optimisation, and maintenance.
- Implement automated monitoring, alerting, and reliability mechanisms for production ML systems.
- Mentor junior developers and data scientists on Python development and engineering best practices.
- Collaborate with stakeholders to translate business and analytical requirements into robust technical solutions.
- Contribute to improving system performance, scalability, and operational resilience.
What we are looking for:
- BSc in Computer Science or a related field ( *Transcripts Required)
- 5+ years’ experience in Python development with strong software engineering fundamentals.
- Proven experience building and supporting production-grade systems.
- Strong understanding of software design principles, including SOLID principles.
- Experience with CI/CD pipelines, Git, and unit testing frameworks.
- Hands-on experience with MLOps tools such as MLflow, Kubeflow, or similar platforms.
- Strong knowledge of cloud platforms such as AWS, Azure, or GCP.
- Ability to debug complex systems and deliver scalable, maintainable solutions.
- Strong collaboration and communication skills with the ability to work across technical and business teams.
- Ownership mindset with a focus on system reliability, performance, and continuous improvement.
Advantageous experience:
- Exposure to tools such as Vertex AI, BigQuery, and Cloud Composer.
- Experience working in large-scale data environments and distributed systems.
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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