SNS SQUARE: SOFTWARE TECHNICAL TRAINER (CORPORATE)

Job Description

SNS SQUARE is looking for a SOFTWARE TECHNICAL TRAINER (CORPORATE) We are looking for a Corporate Technical Trainer with expertise in AI, IoT, Data Science, Data Analytics, DevOps, Full Stack Development, Python, and Java . Tasks Knowledge and experience in Current Technologies (Current trends in IT industry). • Create and maintain a positive and professional learning environment. • Must be a leader that sets standard and expectations through his or her character, integrity, ethics and personality. • Able to deliver, project and motivate students or corporate Employees through effective training methodologies both as a group and individual in the classroom. • Manage the delivery and continuous improvement of self learning programs across the organization for the support of the organization’s needs. • Utilize a variety of the training methodologies, techniques, concepts, learning tools, and practices to ensure maximum effectiveness in the execution of training programs in institutes. • Conduct specific training needs assessments to support the design, development and delivery of corporate training programs and strategies. • Monitor and measure effectiveness of all execution of training programs in institutes. • Coordinating with individual departments (Institutes) to outline deliverables to students and expectation. • Proactively work with the Management team to identify areas of execution and accomplishing the tasks then and there without any backlogs. • Performs other related duties as assigned or requested. • Create high quality deliverables within then and there provided by the Management team. • Able to travel in a flexible schedule including weekdays to accomplish training, under supervisor coverage. • Good in presentation, facilitation, and influencing skills required. Requirements Positive Working Attitude ⚫ Professional Dress Code ⚫ Good Communication Skills ⚫ Good Technical Skills ⚫ Strong People Management ⚫ Loves Traveling Show more Show less