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South Africa: Machine Learning – Johannesburg/Cape Town – up to R750 per hour posted by E-Merge

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Job Description

About the Role

A specialised AI consulting firm is seeking a Machine Learning Engineer to join our team, offering the opportunity to work on high-impact AI initiatives within the banking sector.

Key Responsibilities

  • Design, build, and optimise machine learning models for banking applications.
  • Implement scalable ML pipelines and integrate them into production environments.
  • Collaborate with data scientists, data engineers, and business stakeholders to deliver end-to-end AI solutions.
  • Deploy, monitor, and maintain ML models in AWS environments.
  • Ensure model reliability, reproducibility, and performance throughout the lifecycle.
  • Document methodologies, workflows, and best practices.

Requirements

  • 3-5 years of experience in machine learning, data science, or related field.
  • Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience with large datasets and SQL/NoSQL databases.
  • Essential: Hands-on experience with AWS cloud services (SageMaker, S3, Lambda, EC2, Glue, Redshift).
  • Familiarity with MLOps practices and CI/CD for ML pipelines.
  • Strong problem-solving ability with a track record of translating business needs into technical solutions.
  • Experience in banking or financial services is advantageous, but not required.

Qualifications

  • Formal education/certifications: None mentioned

Salary & Benefits

  • Contract rate: R550 to R750 per hour, salary negotiable based on experience.

How to Apply

Click the green “Go Apply” button below to apply directly online with the employer.

About Other IT/Computer Jobs in South Africa

In South Africa, the IT and computer industry is a significant contributor to the country’s economy, with a diverse range of job opportunities available across various sectors. Typically, these roles involve working with technology to drive business growth, improve efficiency, and enhance customer experience. Generally, careers in this field require a strong understanding of technical concepts and a willingness to adapt to changing technologies.

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When it comes to salary expectations, it’s common for IT and computer professionals in South Africa to earn broad ranges that can vary significantly depending on factors such as experience, company size, and industry sector. Typically, entry-level positions may offer salaries between R400 000 and R600 000 per annum, while more senior roles can command higher figures, often ranging from R800 000 to R2 million or more, depending on the specific requirements of the job.

Common skills for IT and computer professionals in South Africa typically include proficiency in programming languages such as Java, Python, or C++, as well as experience with operating systems like Windows, Linux, or macOS. Data analysis and visualisation tools like Tableau, Power BI, or D3.js are also often required, particularly in roles involving data science or business intelligence. Additionally, IT professionals should be familiar with cloud computing platforms like AWS, Azure, or Google Cloud, as well as cybersecurity principles to protect against threats. Other essential skills may include project management, collaboration tools like Slack or Trello, and a solid understanding of database management systems.

Industries that commonly employ IT and computer professionals in South Africa include the financial services sector, technology industry, manufacturing sector, and public sector organisations. These sectors often require specialists to design, implement, and maintain complex technological systems, ensuring they operate efficiently and securely.

Career development opportunities for IT and computer professionals in South Africa are diverse and varied. Typically, entry-level roles provide a solid foundation for progression into mid-tier positions, where professionals can take on more senior responsibilities and develop their technical expertise. With experience, it’s common to move into leadership roles or transition into related fields like data science, artificial intelligence, or cybersecurity. Many companies also offer opportunities for training, certification, and continuing education to support the ongoing development of their employees’ skills and knowledge.

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



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