As an AIML Instructor at REFFTO ROBOTICS, you will have the exciting opportunity to educate and inspire students in the field of Artificial Intelligence and Machine Learning. Your expertise in Python, Java, R Programming, and other relevant technologies will empower you to deliver high-quality instruction in online teaching environments. Your strong communication skills will be key in engaging with students, while your research and analytics abilities will drive continuous improvement in course content. As a pivotal member of our team, you will also be responsible for project management, problem-solving, and negotiation to ensure successful student outcomes. If you are passionate about shaping the future of AIML education and are ready to take on these responsibilities, we want you on our team. Apply now and join us in revolutionizing the world of robotics.
Key Responsibilities:
1. Develop and deliver curriculum on Python, Artificial Intelligence, and Machine Learning
2. Effectively communicate complex concepts to students in online teaching settings
3. Conduct research and analytics to enhance course materials and student learning experiences
4. Manage projects and timelines to ensure successful completion of educational programs
5. Utilize problem-solving skills to address student challenges and provide support
6. Collaborate with team members on negotiating and resolving issues related to course content
In this emerging world of technology, REFFTO stepped forward to help students and learners in this journey of growth by training them about leading-edge technologies like Robotics, Drones, IoT, Artificial Intelligence, Blockchain, Big data, Web-3.O, and many more. And developing a vigorous interest in them. our motto is to help the nation develop a robust foundation for technical development.
We are here to provide the leading education in the field of science and future technologies with our revolutionary learning pattern based on the concept of CSTEM education (Creative, Science, Engineering, Technology, Maths) designed in a VARK model to encourage a hands-on learning approach in an interdisciplinary and applied format.
