Job Description
About the Role
A boutique AI advisory firm is expanding its team and seeking a Machine Learning Engineer to help deliver transformative AI solutions across the banking domain. This role offers the chance to contribute to large-scale, business-critical initiatives where advanced machine learning is used to drive smarter decisions and operational excellence.
Key Responsibilities
- Develop and refine machine learning solutions tailored to complex use cases within the banking sector.
- Create robust, scalable ML workflows and embed them seamlessly into live production systems.
- Work closely with data scientists, engineers, and business partners to deliver fully realised, end-to-end AI capabilities.
- Release, observe, and support models in AWS-based environments, ensuring smooth operation at scale.
- Uphold high standards for model stability, repeatability, and efficiency across the entire ML lifecycle.
- Capture and share technical approaches, processes, and standards to promote consistency and best practice.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a similar quantitative field.
- 3-5 years of hands-on experience in machine learning, data science, or a closely related discipline.
- Advanced proficiency in Python, with strong practical experience using ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Proven experience working with large-scale datasets, including both SQL and NoSQL data stores.
- Essential: Direct experience with AWS cloud services, including SageMaker, S3, Lambda, EC2, Glue, and Redshift.
- Solid understanding of MLOps principles, including CI/CD pipelines for machine learning workflows.
Qualifications
No formal education or certifications mentioned in the original job description.
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.
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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