Job Description
About the Role
The AI / Machine Learning Architect is responsible for designing, developing, and implementing advanced artificial intelligence and machine learning solutions within the banking and finance sector. This role requires close collaboration with business stakeholders to understand requirements and translate them into scalable, efficient AI/ML architectures that support the organisation’s strategic objectives.
Key Responsibilities
- Design and develop end-to-end AI and machine learning architectures aligned to business goals and compliance standards.
- Evaluate, select, and integrate appropriate AI and machine learning frameworks, tools, and platforms.
- Collaborate with cross-functional teams to gather and analyse business requirements for AI/ML solutions.
- Lead the creation of data pipelines and feature engineering processes to support machine learning models.
- Ensure robust model deployment strategies, including monitoring, optimisation, and maintenance.
- Develop and maintain comprehensive documentation covering design, architecture, and operational procedures.
- Identify opportunities to enhance existing processes through AI and machine learning techniques.
- Maintain awareness of emerging trends, technologies, and regulatory requirements relevant to AI and machine learning in banking.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline.
- Proven experience in designing and implementing AI and machine learning solutions, preferably within the banking or financial services sector.
- Strong understanding of machine learning algorithms, deep learning techniques, and statistical modelling.
- Proficiency in programming languages commonly used in AI/ML such as Python, R, or Java.
- Experience with machine learning frameworks and libraries including TensorFlow, PyTorch, scikit-learn, or similar.
- Knowledge of data engineering concepts, including ETL processes and working with large datasets.
Qualifications
Please provide copies of your qualifications and a copy of your ID upon application.
Salary & Benefits
Salary information is not provided in the original job 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.
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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