Data Science trainer at Regex Software Services

About the job About REGex Software ServicesREGex Software Services is a Global professional Services Company, focused on delivering excellence in a complex digital environment with relentless dedication in IT consulting and services that works at the node of business and technology to help clients improve their performance and create sustainable value for their stakeholders. We demystify technology and help companies to train and upskill their teams with the latest technology stack in the industry. From essentials such as security, compliance and migration to advanced courses, REGex Software helps to build skills with objective driven learning paths for better understanding and clarity as per Industry Standards. Description We are looking for a Machine Learning Trainer to join our team. The successful candidate will be responsible for designing and delivering training programs that teach technical concepts related to Python, SQL, Machine Learning, Deep Learning and AI developer. The ideal candidate should have a strong background in software development, a deep understanding of the Machine Learning related tools and excellent teaching and communication skills. Job Responsibilities: Design, develop and update training materials, including course outlines, lesson plans, slides, hands- on exercises and assessments on Python, SQL, Machine Learning, Deep Learning and AI. Deliver training programs to students in both online and classroom training. Utilize various teaching methods such as lectures, demonstrations and hands-on activities. Provide regular reports and feedback to management on training outcomes and improvement areas. Stay updated with the latest trends, tools and technologies in data science. Requirements: Bachelor's degree in Computer Science or related field. In-depth knowledge of data science concepts such as machine learning, deep learning, AI, statistical analysis, Tensorflow, Bigdata tools and data visualization using Power BI. Proficiency with data sci