Posted:1 month ago| Platform: Linkedin logo

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Job Type

Internship

Job Description

Overview

We are looking for a passionate and dynamic AI, ML & Robotics Trainer to join our academic and training team. The ideal candidate will have strong expertise in Artificial Intelligence, Machine Learning, Robotics, IoT, and Embedded Systems, along with the ability to mentor and guide students through hands-on, project-based learning. This role is perfect for someone who thrives on sharing knowledge, simplifying complex concepts, and shaping the next generation of tech innovators.


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Roles & Responsibilities

  • Design, develop, and maintain training modules, learning paths, and project-based exercises for Artificial Intelligence (AI), Machine Learning (ML), and Robotics.
  • Deliver instructor-led sessions on AI, ML, Robotics, IoT, and Embedded Systems.
  • Train learners on AI/ML frameworks, robotics programming, and control systems.
  • Provide hands-on guidance in coding, simulations, and hardware-based robotics projects.
  • Mentor students in applying AI and robotics to real-world problem-solving.
  • Continuously update training content to align with the latest industry trends and innovations.
  • Provide learners with career guidance, industry insights, and portfolio-building support.
  • Conduct specialized training on Embedded Systems, IoT, and related technologies (e.g., Nordic MCUs, Raspberry Pi, Arduino).
  • Teach programming languages and tools such as Embedded C, C++, and Python.
  • Guide students in hardware interfacing, sensor integration, and electronics fundamentals.
  • Support learners in developing IoT and embedded applications.
  • Stay current with the latest advancements in embedded systems, IoT, AI, and Robotics.


Skills & Competencies

  • Strong communication, presentation, and teaching skills.
  • Ability to simplify complex concepts for diverse learner groups.
  • Prior teaching, training, or mentoring experience is highly desirable.
  • Proficiency in English with excellent workshop and webinar delivery capabilities.
  • Passion for hands-on, project-based learning and student mentorship.

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