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
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