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
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
excellent knowledge and experience with virtual machines and a deep understanding of Azure services. Additionally services, including but not limited to virtual machines, Azure Active Directory, Azure Networking, and virtualization technologies, particularly virtual machines, and experience managing virtual infrastructure
business case and value proposition; Create best-in-class products by integrating the firm's product footprint practices, technologies such as robotic automation, machine learning, mobility, artificial intelligence and
Microsoft.NET framework Basic understanding of UML (Class, Activity, Entity Relation Diagrams, etc.) Understanding
computing, web application frameworks, GIS, databases, machine learning, and BI tools is essential for this role computing, web application frameworks, GIS, databases, machine learning, and BI tools. In-depth knowledge of product
preferably having finished in the Top 10% of your class with ±2 Years of experience in a similar role having given if you finished within the top 10% of your class. Experience/Skills - ±2 Years of experience as a
Knowledge of cloud computing, data analytics and machine learning technologies is a plus If you are a motivated
feature-for-feature competitive analysis and world-class standards for the Super App industry