Master Trainer - AI Skills

Role & responsibilities

Training Delivery

• Deliver engaging and informative lectures and workshops both online and offline. Adapt teaching strategies based on the mode of delivery and student feedback.
• Use a combination of classroom teaching, presentations, simulations, and physical demonstrations.
• Supervise students during lab-based practicals, ensuring adherence to safety procedures and effective learning outcomes.

Student Mentoring and Evaluation

• Design and administer assessments, case studies, and project work to evaluate student understanding and application of course materials. Provide one-on-one mentoring to students on their projects to tackle real-world scenarios.
• Offer mentoring to help students refine their projects and make them more competitive in the job market.

Reports

• Maintain accurate and comprehensive records of student progress, course updates, and teaching materials.
• Regular reports submitted to all relevant stakeholders and program management and plans for upcoming workshop/training
• Identify success stories in the region and will make them available, in a timely manner, to the top management for the showcase.

Technical Skills

• Strong Python programming skills and familiarity with AI-related libraries (NumPy, Pandas, Matplotlib, seaborn, Scikit-learn).

• Practical Hand on Experience on Machine Learning, Deep Learning Frameworks (TensorFlow, Keras, PyTorch).

• Desirable experience with Green Technologies like Renewable Energy Systems, environmental sensing technologies, resource management and other related field including their design, implementation, and optimization using AI.

• Knowledge of Generative AI, Large language models and their applications.

Please share relevant cv at asharma@edunetfoundation.org or call me at 9560335823