Job Description
About the Role
The AI Engineer designs, develops, and implements artificial intelligence solutions aligned with business objectives within the banking and finance sector. The role involves working closely with cross-functional teams to enhance data-driven decision making, optimise customer experience, and improve operational efficiency through AI technologies.
Key Responsibilities
- Develop, test, and deploy AI models and algorithms to support banking and financial services applications.
- Collaborate with data scientists, software engineers, and business analysts to understand requirements and translate them into scalable AI solutions.
- Maintain and optimise existing AI systems, ensuring accuracy, reliability, and performance.
- Conduct research on emerging AI technologies and incorporate relevant advancements into current projects.
- Implement machine learning, natural language processing, and computer vision techniques as required.
- Ensure compliance with data security, privacy regulations, and organisational policies when handling sensitive financial information.
- Document development processes, model architectures, and test results comprehensively.
- Provide technical support and training where necessary to stakeholders and end users.
- Participate in code reviews and contribute to the continuous improvement of development practises.
- Manage project timelines and deliverables effectively within the contract period.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline.
- Proven experience in developing AI or machine learning solutions, preferably within the banking and finance sector.
- Strong programming skills in languages such as Python, R, or Java.
- Experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or similar.
- Familiarity with data preprocessing, feature engineering, model training, validation, and deployment.
- Understanding of cloud platforms and services that support AI workloads.
Qualifications
No formal education or certifications mentioned.
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.
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.
This information provides general career guidance. Actual salaries and requirements vary by employer.
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