Mechanical Engineering Trainer - Industry 4.0 Brainwire Analytics

0.0 - 4.0 years

0 Lacs

karnataka

On-site

We are looking for a passionate Mechanical Engineering professional with solid technical foundations and a growth mindset to educate learners in Industry 4.0 technologies. This role involves training individuals in areas such as 3D printing, CAD modeling, design optimization, generative design, and introductory AI/ML programming in Python. Whether you are an experienced engineer or an enthusiastic fresher, this position offers a unique opportunity to combine mechanical expertise with cutting-edge digital tools and influence the future generation of engineers. Structured training and mentorship will be provided to help you excel in this role. Key Responsibilities - Conduct engaging training sessions on: - 3D printing technologies and additive manufacturing workflows - CAD modeling, including sketching, solid modeling, and STL generation - Slicing tools and part printing processes - Topology optimization and generative design techniques - Basics of Industrial IoT (IIoT), such as sensors and actuators - Fundamentals of Artificial Intelligence in manufacturing - Basic Python tasks like reading data files, basic visualizations, regression, and classification - Assess learner performance, administer evaluations, and offer constructive feedback - Collaborate with content and academic teams to improve training delivery quality Required Qualifications - Bachelor's degree in Mechanical Engineering, Mechatronics, or a related field - Proficiency in CAD tools like Fusion 360, SolidWorks, or similar software - Familiarity with 3D printing workflows and STL formats - Basic knowledge of any programming language (Python is preferred) - Excellent communication skills and the ability to effectively engage with learners Preferred Attributes - Eagerness to learn and enhance skills through onboarding processes - Strong collaboration and communication skills - Capability to simplify complex subjects for diverse learners - Adaptable, self-motivated, and detail-oriented - Freshers with strong technical foundations are encouraged to apply Why Join Us - Receive training on advanced tools and teaching methodologies - 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-focused environment Note: Application Question(s): What is your current salary This is a full-time position located in person.,

Posted 6 days ago

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Mechanical Engineering Trainer Brainwire Analytics

0.0 - 4.0 years

0 Lacs

karnataka

On-site

We are looking for 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 are 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 will receive structured training and mentorship to thrive in this role. 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 Application Question(s): Current Salary Work Location: In person,

Posted 1 week ago

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