Job Title: Deep Learning and Gen AI Trainer (Recorded Course)
Job Type: Freelance / Contract / Part-Time
Job Description:
We are looking for an experienced Deep Learning and Gen AI Trainer to develop and record high-quality educational video lectures for our Data Science and AI course. The trainer should have strong technical knowledge and the ability to explain complex concepts in simple, practical, and easy-to-understand language.
Roles and Responsibilities:
- Develop a structured Deep Learning curriculum suitable for students and beginners.
- Record high-quality video lectures covering fundamental and advanced concepts.
- Explain neural networks, artificial neural networks (ANN), CNN, RNN, LSTM, and Transformers.
- Teach backpropagation, activation functions, loss functions, optimizers, and model training.
- Provide hands-on demonstrations using Python, TensorFlow, and PyTorch.
- Cover practical applications such as image classification, text processing, and predictive modelling.
- Create practical coding examples, assignments, quizzes, and project-based learning materials.
- Ensure all recorded videos are technically accurate, well-organized, and engaging.
- Coordinate with the course team to complete and submit lectures according to the agreed schedule.
Required Skills and Qualifications:
- Strong knowledge of Deep Learning, neural network architectures and Gen AI concepts.
- Proficiency in Python and libraries such as TensorFlow, Keras, or PyTorch.
- Understanding of Machine Learning, mathematics, statistics, and model evaluation.
- Experience in teaching, training, or creating technical educational content.
- Good communication and presentation skills.
Preferred Qualifications:
- Experience creating recorded online courses.
- Experience working on real-world Deep Learning and Gen AI projects.
- Knowledge of GPU-based model training and deployment.
Deliverables:
- Recorded video lectures as per the approved curriculum.
- Source code, notebooks, assignments, and project files.
- Supporting notes or presentations wherever required.
Pay: ₹700.00 per hour
Expected hours: 6.0 – 9.0 per week
Benefits:
- Flexible schedule
- Work from home
Work Location: Remote
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