DEPARTMENT OF INFORMATION TECHNOLOGY SERVICES TRAINING MANAGER (IT) PEROMNES POST LEVEL 8 The successful limited to: Operational training management: Refine and optimise the annual ITS training plan; Design, develop deliver training programmes and individual classes; and present instructor-led and online training sessions; Review training materials and documentation and keep them up to date; Create and communicate training schedules database to track training participants' status and results; Create and administer training event feedback
implementing, and maintaining SAP BW data models. Extracting, transforming, and loading data from various technical issues. Providing technical support and training to end-users. Required Qualifications: Bachelor's and InfoObjects. Experience with SAP BW data extraction, transformation, and loading (ETL) processes
You will play a crucial role in training their Conversational AI to understand user inputs effectively responsibilities will include managing the processes of training, testing, and optimizing our Conversational AI's dynamic field. NLU Training, Testing, and Optimization: Manage the processes of training, testing, and optimizing creating, curating, and analyzing datasets and training machine learning models within the Conversational ensure accurate intent recognition and entity extraction. NLU Strategy: Advocate for best practices in
artificial intelligence models and algorithms to extract insights, predict outcomes, and optimize processes data exploration, and data pre-processing to extract valuable information from large datasets. - Apply scientists. - Participate in knowledge-sharing and training programs to enhance the data science capabilities
professionals, providing guidance, support, and training as needed. ✓ Oversee the design, development, improvements to existing systems and processes. ✓ Provide training and support to end-users on MIS systems and tools techniques. ✓ Familiarity with ERP systems and data extraction methods. ✓ Strong communication and interpersonal
years post qualification experience A Degree in Metallurgy or related Qualification. Below age of 44. Exceptional
flows.
pass all assigned tasks and tests as per the Internship Programme • Successfully integrate yourself with
professionals, providing guidance, support, and training as needed. ✓ Develop and implement data management techniques. ✓ Familiarity with ERP systems and data extraction methods is a plus. ✓ Management of multiple time
environment.