Python AI ML Trainer

You will be responsible for teaching Python programming, AI, and Machine Learning concepts to students. This includes designing and delivering engaging lectures, labs, and projects based on real-world applications. You will also prepare and update lesson plans, assignments, and assessments, while explaining data preprocessing, model training, testing, and deployment in simple language. Moreover, you will help students build AI/ML mini projects using Python libraries like NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, or PyTorch. Monitoring student progress, providing constructive feedback, staying updated with the latest AI/ML trends, tools, and technologies, and conducting practical sessions, hackathons, or coding challenges to improve student engagement are also part of your responsibilities. Collaborating with academic coordinators to ensure syllabus completion is essential. - Teach Python programming, AI, and Machine Learning concepts - Design and deliver engaging lectures, labs, and projects - Prepare and update lesson plans, assignments, and assessments - Help students build AI/ML mini projects using Python libraries - Monitor student progress and provide constructive feedback - Stay updated with the latest AI/ML trends, tools, and technologies - Conduct practical sessions, hackathons, or coding challenges - Collaborate with academic coordinators to ensure syllabus completion - Strong knowledge of Python programming (functions, loops, OOPs, data structures) - Solid understanding of Machine Learning algorithms (Regression, Classification, Clustering, etc.) - Familiarity with AI tools and libraries (Scikit-learn, TensorFlow, Keras, Pandas, Numpy) - Ability to explain technical topics in a simple and interactive manner - Good communication and presentation skills - Problem-solving and mentoring mindset You should have a Bachelor's or Master's degree in Computer Science, IT, Data Science, Engineering, or a related field. Certification in AI/ML or Data Science is preferred. Prior teaching or training experience is also preferred but not mandatory. Please note, the job can be Full-time, Part-time, or Contract based on the requirement. The work location is in person.,