Futurise Training Institute is a leading technology education provider based in the heart of Dubai’s innovation hub. We are dedicated to equipping the next generation of tech leaders with the skills to excel in the fields of Artificial Intelligence and Robotics. Our mission is to bridge the gap between theoretical knowledge and practical, industry-relevant application. We are looking for a passionate and knowledgeable AI and Robotics Trainer to join our dynamic team and inspire our learners.

JOB SUMMARY

We are seeking an experienced and enthusiastic AI and Robotics Trainer to design and deliver world-class training programs. The ideal candidate will be a subject matter expert with a talent for simplifying complex concepts and a passion for hands-on learning. You will be responsible for creating an engaging learning environment, developing cutting-edge curriculum, and mentoring students to help them achieve their career goals in the exciting and rapidly growing fields of AI and robotics.

REQUIRED QUALIFICATIONS & SKILLS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Robotics, Mechatronics, Electrical Engineering, or a closely related field.
• Demonstrable expertise and professional experience in the AI/ML and/or Robotics domain.
• Strong Programming Proficiency: Expertise in Python is mandatory. Familiarity with C++ is highly advantageous.
• AI/ML Expertise:
• Solid grasp of core machine learning algorithms (e.g., Linear Regression, SVMs, Decision Trees).
• In-depth knowledge of Deep Learning concepts, including hands-on experience with frameworks like TensorFlow or PyTorch.
• Understanding of neural network architectures such as Convolutional Neural Networks (CNNs) for computer vision and Recurrent Neural Networks (RNNs) for sequence data.
• Familiarity with the mathematical foundations, including concepts like the gradient descent optimization algorithm, represented as θnew​=θold​−α∇J(θ).
• Robotics Expertise:
• Practical experience with Robot Operating System (ROS).
• Hands-on experience with robotics hardware such as Arduino, Raspberry Pi, robotic arms, or mobile robots.
• Knowledge of kinematics, dynamics, and control systems (e.g., PID controllers).
• Experience with computer vision libraries like OpenCV.
• Exceptional communication, presentation, and public speaking skills, with a proven ability to convey complex technical concepts clearly and effectively.
• A genuine passion for teaching, mentorship, and fostering talent.
• Fluency in English is required.

PREFERRED QUALIFICATIONS

• Previous experience in a technical training, corporate training, or academic teaching role.
• Industry-recognized certifications in AI, Machine Learning, or cloud platforms preferred (AWS, Azure, GCP).
• A portfolio of personal or professional projects showcasing your work in AI and/or Robotics.
• Experience in Natural Language Processing (NLP) or Reinforcement Learning (RL).

• Curriculum Development: Design, develop, and continuously update comprehensive and engaging course content, lesson plans, lab exercises, and projects covering foundational and advanced topics in AI and Robotics.
• Instruction and Facilitation: Deliver dynamic and interactive training sessions, workshops, and bootcamps to a diverse audience, including students, professionals, and corporate clients, both in-person and online.
• Hands-On Lab Management: Oversee and manage our state-of-the-art robotics lab, ensuring all hardware (e.g., robotic arms, autonomous mobile robots, sensor kits, drones) and software (e.g., ROS, simulation environments) are well-maintained and utilized effectively in training.
• Mentorship and Support: Provide robust academic and practical support to learners. Guide them through complex projects, offer constructive feedback on their work, and provide career mentorship.
• Assessment and Evaluation: Create and administer quizzes, assignments, and practical assessments to accurately measure learner progress, comprehension, and skill acquisition.
• Stay Current: Actively research and stay abreast of the latest industry trends, breakthroughs, and tools in AI and Robotics to ensure the curriculum remains relevant and cutting-edge.
• Collaborate and Improve: Work closely with the academic team and management to refine course offerings, contribute to educational strategy, and enhance the overall learner experience.