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
engines and services by applying strong expertise in machine learning, data mining and conducting information behaviour.
opportunities through statistical, algorithmic, machine learning and visualisation techniques.
objectives.
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
opportunities through statistical, algorithmic, machine learning and visualisation techniques. Execute intelligent automation and predictive modelling. Build machine learning models from and utilises distributed data processing and analysis methodologies. Competent in Machine Learning programming in R or Python, with supplementary
business objectives. Develop predictive models and machine learning algorithms to forecast customer behaviour technologies and best practices in data science, machine learning, and artificial intelligence. Translate field. 2 years of experience in data analysis, machine learning, and predictive modelling. Proficiency
like Veeam,Windows Backup. Knowledge of Virtual Machines like Hyper-V,VMWare. Knowledge of Active directory
software and services aimed at leveraging advances in machine learning and artificial intelligence. aimed at Studio