Data Science Trainer

Job Description

Role & responsibilities Strong training experience highly preferred in Python, Power BI, Machine Learning, Deep Learning using Tensorflow, NLP, , PySpark, Hands on programming with Cloud computing, Computer Vision software etc. Strong debugging skills Strong communication and interpersonal skills. Must be a self-starter. Training Graduate Engineers, Working professionals, Corporate freshers and Laterals. College Workshop Trainings. Content Development, Technical Assessment and Evaluation, Project development Expertise in handling multiple inhouse and corporate trainings with proven track record and quality delivery. Experienced in course content development based on the training requirements. Course material development Experience in developing Hands-on projects and hand-holding large groups of students in the same. Corporate Training : Understand the requirements from client and deliver training as per the corporate clients requirements. Working experiences on embedded systems project development Knowledge on Hardwares Experienced in all phases of product life cycle including requirements, design, coding Managing all aspects of the training cycle i.e. Training need analysis, course development, implementation and delivery, monitoring and evaluation. Ensuring quality delivery to students Establish expectations with project members and provide timely feedback Manage the work of developer resources, mentoring and coaching as needed Provide programming direction to a team of trainers. Preferred candidate profile