80389308 - Engineer, AI at Standard Bank Group

JOB DESCRIPTION

•  Identification of data monetization opportunities and specifications to facilitate machine learning and potential applications of AI/ML models to meet business goals.
• AI/ML solutions to data solvable business problems and verification whether AI/ML analytics meet business requirements.
• Support, tools, and training that enable business adoption of analytical and AI/ML solutions  and Model development capabilities to support data, and analytics, democratization.
• Processes of AI/ML model development and engineering that promotes wide adoption, re-usability, and enhance the return on technology and data investments.
• Documentation to support the understanding and use of AI/ML models and analysis to select fit-for-purpose solutions.
• Development of custom AI/ML algorithms and applications based on academic and internal research and Contribute to open-source ML libraries.
• Contribute to AI community’s professional and business development and shared activities with other domain specialists to support data, analytics, and AI democratization
• AI/ML models, for internal and external use, to support data monetization initiatives.
• Modular and re-usable AI/ML models, maintenance of AI/ML models and libraries and model diagnostic analytics for model monitoring.
• Engineering of AI/ML models to be scalable to enterprise applications and Engineering of AI/ML models optimize cost.
• Strategy to optimizing the benefit of enterprise AI/ML software and critical evaluation and customized use of 3rd party AI/ML platforms and libraries.
• Development practices to support the responsible use of AI/ML and documentation and data for model validation and monitoring as is required.
• Practices supporting compliance to (evolving) regulatory requirement to actively use bank, customer, and third party data for meeting client and business objectives.

QUALIFICATIONS

To reflect the multi-disciplinary nature of artificial intelligence, post graduate degrees in one of the following :

• Data Science,  Artificial Intelligence, Machine Learning
• Applied mathematics (eg. Operational research, Mathematics of Finance) and  Statistics.

ADDITIONAL INFORMATION

• Working knowledge of statistical inference, applied mathematical and applied statistical models, and computational algorithms applicable to machine learning.
• Working knowledge of data science, machine, and deep learning libraries.
• Python, C/C++, R coding skills with aptitude for other computational and development tools.
• Specialization in one of image recognition, natural language processing, artificial neural networks, or statistical machine learning.
• Basic data engineering skills.