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Johannesburg: Machine Learning Engineer

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Job Description

About the Role

You will step into a senior, hands-on engineering role where you will own systems from concept to production. This position blends software engineering depth, architectural design, technical leadership, and collaboration with consultants, data scientists, and clients. Your work will span AI platforms, analytical systems, LLM-enabled tools, data pipelines, microservices, and cloud-based deployments.

Key Responsibilities

  • Lead the development of software components supporting analytics, machine learning, LLM applications, and AI-driven workflows
  • Architect backend services, APIs, and data models that support AI and large-scale analytical solutions
  • Build and maintain data pipelines, feature stores, inference engines, and model-serving systems
  • Integrate ML models and LLMs into production environments using scalable, reliable patterns
  • Implement testing, monitoring, and governance processes for production AI systems
  • Translate analytical and client requirements into system designs and actionable engineering work

Requirements

  • MSc in Computer Science (or related field)
  • Strong grounding in algorithms, systems design, software engineering principles, mathematics & probability
  • Expertise in Python, with additional experience in JavaScript/Node.js advantageous
  • Experience deploying production systems using PyTorch, Docker, Kubernetes, REST APIs, and microservices
  • Ability to design scalable backend architectures and distributed systems
  • Familiarity with Git/GitHub, CI/CD automation, Linux/Windows environments
  • Experience with cloud platforms (AWS/Azure/GCP) advantageous

Qualifications

  • Formal education/certifications not specified in original description.

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.

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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.

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This information provides general career guidance. Actual salaries and requirements vary by employer.



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