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South Africa: Machine Learning Engineer (Credit / Risk Division) – Cape Town – up to R1.4mil CTC posted by E-Merge

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Job Description

Join a Credit Division as a Machine Learning Engineer, where you’ll help bring the bank’s AI strategy to life. Working alongside Data Scientists and Decision Scientists, you’ll design, implement, and enhance machine learning platforms while driving the delivery of scalable AI solutions. The effective use of AI will be a defining competitive advantage, and this role offers the chance to shape that future. You’ll take models from concept through to production-applying modern engineering practices, big data processing, and cloud technologies-to build predictive solutions that have a direct impact on our clients and business.

Responsibilities:

  • Design, build, and deploy scalable machine learning models for real-world credit applications.
  • Partner with Data Scientists and Decision Scientists to enhance model accuracy, efficiency, and performance.
  • Develop, maintain, and improve machine learning pipelines and platforms.
  • Apply big data frameworks (Hadoop, Kafka, PySpark) for large-scale data processing.
  • Ensure models meet rigorous production standards for scalability, robustness, and maintainability.
  • Leverage cloud platforms (AWS preferred) for deploying and managing AI solutions.
  • Follow software engineering best practices, including version control (Git/GitHub) and peer reviews.
  • Stay ahead of emerging trends in AI, ML, and big data to recommend innovative solutions.

Qualifications and Experience:

  • Master’s degree in Information Technology, Computer Science, Engineering, or related field.
  • Strong Python programming skills with experience in ML libraries (scikit-learn, TensorFlow, PyTorch).
  • Solid SQL knowledge for data extraction, transformation, and optimisation.
  • Experience with PySpark and distributed data processing.
  • Hands-on exposure to big data frameworks (Hadoop, Kafka).
  • Proven experience deploying and maintaining ML models in production environments.
  • Proficiency in version control (Git/GitHub).
  • AWS certification or strong AWS project experience (highly advantageous).
  • Credit scoring: Logistic Regression, XGBoost, LightGBM
  • Default prediction: Random Forest, GBMs, Logistic Regression
  • Loan approval automation: Decision Trees, GBMs
  • Fraud detection: Neural Networks, Isolation Forest, SVM
  • Collections prioritisation: Clustering, Gradient Boosting
  • Customer segmentation: K-means, DBSCAN, Hierarchical Clustering
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The Reference Number for this position is NG60786 which is a Permanent, hybrid position in Cape Town offering a salary of up to R1.4mil CTC negotiable based on experience. E-mail Nokuthula on .za or call her for a chat on (***)***-**** to discuss this and other opportunities.

Are you ready for a change of scenery? e-Merge IT recruitment is a niche recruitment agency. We offer our candidates options so that we can successfully place the right people with the right companies, in the right roles. Check out the e-Merge IT website .za for more great positions.

Do you have a friend who is a developer or technology specialist? We pay cash for successful referrals!

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.

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.

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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.


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



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