other chatbot frameworks; Knowledge of NLP and machine learning; Strong understanding of RESTful API's
emerging trends across Data/Analytics (Big Data, Machine Learning, Deep Learning, AI) Technical Environment
situations. Intermediate knowledge of Windows Virtual Machines Advanced knowledge of Windows Server 2016 and
Change Agility, Credit Risk Analysis, Data Science, Machine Learning, Predictive Modelling, Problem Solving
Warehouse modelling techniques and methodologies - Machine Learning and AI knowledge, and implementation,
(e.g., Docker, Kubernetes). ▪ Familiarity with machine learning concepts and frameworks. R900 000.00 per
ETL processes.
SQL, and ETL processes. Experience with AI and machine learning technologies and their application in
consulting projects. Design, deploy, and manage machine learning models to enhance decision-making and
Scripting Languages HTML, JavaScript, CSS, XML Machine Learning R, Python, SKLearn, PySpark Cloud MS Azure