excellent knowledge and experience with virtual machines and a deep understanding of Azure services. Additionally documentation for our white-labeled Azure-based tools and troubleshooting any bugs or issues that arise documentation for our white-labeled Azure-based tools, including setup guides, troubleshooting manuals services, including but not limited to virtual machines, Azure Active Directory, Azure Networking, and virtualization technologies, particularly virtual machines, and experience managing virtual infrastructure
excellent knowledge and experience with virtual machines and a deep understanding of Azure services. Additionally documentation for our white-labeled Azure-based tools and troubleshooting any bugs or issues that arise documentation for our white-labeled Azure-based tools, including setup guides, troubleshooting manuals 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 computational platform, including broader ecosystem of tools such as HDFS / Spark / Kafka. Provide input into management experience Experience with data visualisation tools, such as Power BI, Tableau, etc. The Reference Number
excellent knowledge and experience with virtual machines and a deep understanding of Azure services. Additionally documentation for our white-labeled Azure-based tools and troubleshooting any bugs or issues that arise documentation for our white-labeled Azure-based tools, including setup guides, troubleshooting manuals services, including but not limited to virtual machines, Azure Active Directory, Azure Networking, and virtualization technologies, particularly virtual machines, and experience managing virtual infrastructure
application frameworks, GIS, databases, machine learning, and BI tools is essential for this role. DUTIES: products, methods, and tools. Customise and deploy products, methods, and tools in various use-case environments application frameworks, GIS, databases, machine learning, and BI tools. In-depth knowledge of product development
over 5 years of experience in AI, Generative AI, Machine Learning, NLP, or related fields. You will play sustain documentation for AI models, processes, and tools. Offer technical expertise and assistance to team years of hands-on experience in AI, Generative AI, Machine Learning, NLP, or a related field. Demonstrated and R. Deep understanding of NLP techniques and tools. Familiarity with voice bot and chatbot technologies
over 5 years of experience in AI, Generative AI, Machine Learning, NLP, or related fields. You will play sustain documentation for AI models, processes, and tools. Offer technical expertise and assistance to team years of hands-on experience in AI, Generative AI, Machine Learning, NLP, or a related field. Demonstrated and R. Deep understanding of NLP techniques and tools. Familiarity with voice bot and chatbot technologies
such as Python, Microsoft, AWS, Hadoop, Big Data, Machine Learning or Cloud Infrastructure Requirements: related projects Experience in Python / Microsoft ML Tools / Working in Jupter notebooks SQL Knowledge and and working with large scale data sets Machine learning techniques experience Working within an Agile environment Identify and implement data mining / statistics / machine learning techniques Validate and test models Review
in leading BI teams, and experience in AI and Machine Learning technologies, with a solid understanding leading B.I. Teams Proven experience with B.I. Tools (Power BI or similar) Strong background in data SQL and ETL processes Experience with AI and Machine learning technologies Solid understanding of contact reporting Lead initiatives to integrate AI and machine learning technologies into BI framework Data management
Advancement: - Lead initiatives to integrate AI and machine learning technologies into the BI framework. - Monitor industry trends and advancements in BI and AI tools and technologies. - Project Management: - Lead BI business intelligence. - Proven experience with BI tools such as Power BI or similar platforms. - Strong SQL, and ETL processes. - Experience with AI and machine learning technologies and their application in business intelligence. - Proven experience with BI tools such as Power BI or similar platforms. - Strong