pivotal role in leveraging advanced analytics and machine learning techniques to extract actionable insights />A solid foundation in statistical analysis and machine learning algorithms, with hands-on experience applying
system maintenance Adroid system, PLCs and HMI machines support Experience: 3 - 5 Years experience in in IT support and services Adroid systems, HMI machines and PLCs experience Requirements: Matric / Grade
Responsibilities: Utilize advanced statistical techniques and machine learning algorithms to analyze historical collection analysis and modeling. Solid understanding of machine learning algorithms and statistical modeling techniques
 Artificial Intelligence (NLP, ChatBots and Machine Learning)
·       Office 365
Machine Learning)
WHICH QUALIFICATIONS/EXPERIENCE
Relational and time scale databases Knowledge of Machine Learning Knowledge of Artificial Intelligence concepts concepts algorithms Deployment of Machine Learning algorithms. Plant signals and systems modelling. Web Relational and time scale databases Knowledge of Machine Learning Knowledge of Artificial Intelligence concepts concepts algorithms Deployment of Machine Learning algorithms. Plant signals and systems modelling. Web
Relational and time scale databases Knowledge of Machine Learning Knowledge of Artificial Intelligence concepts concepts algorithms Deployment of Machine Learning algorithms. Plant signals and systems modelling. Web Relational and time scale databases Knowledge of Machine Learning Knowledge of Artificial Intelligence concepts concepts algorithms Deployment of Machine Learning algorithms. Plant signals and systems modelling. Web
seeking a Data Scientist with a strong background in machine learning. The ideal candidate must be willing to Data Analysis and Modelling: Develop and deploy machine learning and artificial intelligence models and science roles, including hands-on experience with machine learning, deep learning, and statistical analysis analysis Proficiency in data analysis and machine learning tools and libraries e.g. Python, R Strong programming
acquisition, data cleansing, data transformation
Machine learning algorithms to uncover patterns, make predictions
science projects, using sophisticated analytics and machine learning models to address difficult business challenges Data Analysis and Modelling: - Develop and deploy machine learning and artificial intelligence models and science roles, including hands-on experience with machine learning and statistical analysis. Proficiency
techniques and platforms. Applying statistics, machine learning, and analytical approaches to solve business information needs. Building predictive models and machine-learning algorithms to answer critical business Business process mapping abilities. Understanding of machine learning and operations research. Knowledge of