in leading BI teams, and experience in AI and Machine Learning technologies, with a solid understanding SQL and ETL processes Experience with AI and Machine learning technologies Solid understanding of contact Incorporate advanced AI capabilities to optimise operations and drive data-driven decision making Data analysis reporting Lead initiatives to integrate AI and machine learning technologies into BI framework Data management
Looking for a highly talented Product Lead in Machine Learning to join a dynamic Engineering team. Create Create and facilitate the delivery of the Machine Learning roadmap for the company's key AI focus areas areas. Work hand-in-hand with a team of dedicated machine learning engineers, aiming to deliver projects of machine learning project outputs from your machine learning team by other internal non-machine learning for driving meaningful business results through machine learning solutions and then work with stakeholders
excellent knowledge and experience with virtual machines and a deep understanding of Azure services. Additionally engineers, and project managers, to ensure the smooth operation of our Cloud services. Requirements: Expertise services, including but not limited to virtual machines, Azure Active Directory, Azure Networking, and virtualization technologies, particularly virtual machines, and experience managing virtual infrastructure
solutions. This role involves applying statistical, machine learning, and data mining techniques to extract and implement data modelling, data mining, and machine learning algorithms to uncover patterns, trends with the latest developments in data science, machine learning, and analytical techniques, and incorporate Minimum of 3 years of experience in data science, machine learning, or a related field. Strong programming Spark). Proficiency in statistical modelling, machine learning algorithms, and data mining techniques
incorporating advanced AI capabilities to optimize operations and drive data-driven decisionmaking. This position and data visualizations to support business operations and strategic decision-making. - Analyze complex Advancement: - Lead initiatives to integrate AI and machine learning technologies into the BI framework. - SQL, and ETL processes. - Experience with AI and machine learning technologies and their application in SQL, and ETL processes. - Experience with AI and machine learning technologies and their application in
integrating advanced AI capabilities to optimize operations and drive data-driven decision-making. The ideal and data visualizations to support business operations and strategic decision-making. Analyze complex Advancement: Lead initiatives to integrate AI and machine learning technologies into the BI framework. Collaborate SQL, and ETL processes. Experience with AI and machine learning technologies and their application in
distributions, statistical testing, regression, etc. Machine Learning and Analytics experience advantageous
the business intelligence framework, driving operational optimisation and data-driven decision-making SQL, and ETL processes. Experience with AI and machine learning technologies and their application in
emerging trends across Data/Analytics (Big Data, Machine Learning, Deep Learning, AI) Responsible for developing
Manage, and ensure the Effective and Efficient Operation of the division in terms of the Implementation agreed, defined service levels Optimize Branch operational productivity outputs as per agreed mandate performance Plans) Meet operational expenditure thresholds in facilitating divisional strategy Meet operational expenditure analyse quantitative and qualitative data for operational reporting, planning and action Conduct performance