We are seeking a passionate Mechanical Engineering professional with strong technical foundations and a growth mindset to train learners in Industry 4 0 technologies This includes 3D printing CAD modeling design optimization generative design and introductory AI ML programming in Python Whether you re a seasoned engineer or a motivated fresher this is a unique opportunity to merge mechanical expertise with emerging digital tools and shape the next generation of engineers You ll receive structured training and mentorship to thrive in this role Key Responsibilities Deliver interactive training sessions on 3D printing technologies and additive manufacturing workflows CAD modeling sketching solid modeling and STL generation Slicing tools and part printing processes Topology optimization and generative design techniques Basics of Industrial IoT IIoT including sensors and actuators Fundamentals of Artificial Intelligence in manufacturing Simple Python tasks like reading data files basic visualizations regression classification Evaluate learner performance conduct assessments and provide actionable feedback Collaborate with content and academic teams to enhance delivery quality Required Qualifications Bachelor s degree in Mechanical Engineering Mechatronics or a related field Working knowledge of CAD tools e g Fusion 360 SolidWorks or similar Familiarity with 3D printing workflows and STL formats Basic understanding of any programming language Python preferred Strong communication skills and ability to engage with learners Preferred Attributes Eagerness to learn and upskill through onboarding Strong collaboration and communication abilities Ability to simplify complex topics for diverse learners Adaptable self-motivated and detail-oriented Freshers with strong technical fundamentals are welcome to apply Why Join Us Get trained on cutting-edge tools and teaching methods Work at the intersection of mechanical engineering and digital innovation Inspire future engineers with real-world applications and emerging technologies Grow in a supportive learning-driven environment Job Type Full time Pay 30 000 00 - 40 000 00 per month Application Question s Current Salary Work Location In person