Technical Content Developer

Job Description

Skills Required Minimum 1-4 years of experience in content development. Strong understanding of neural networks, CNNs, RNNs, LSTMs, GANs, transformers, and other advanced architectures. Expertise in Python and popular Deep Learning frameworks like TensorFlow, PyTorch, and Keras. Hands-on experience building, training, and deploying Deep Learning Models. Experience working with real-world datasets for image recognition, NLP, time series forecasting, and other domains. Knowledge of pre-trained models and transfer learning techniques. Responsibilities Lead a team of Associate technical content developers to ensure timely and high-quality content creation. Develop high-quality, industry-relevant content on Deep Learning concepts, including neural networks, CNNs, RNNs, GANs, transformers, and other advanced topics. Incorporate hands-on projects and real-world datasets to provide practical learning experiences. Understanding of how to develop content to meet various learner needs and styles. Collaborate with Subject Matter Experts (SMEs) to ensure technical accuracy and relevance of the content. Design curriculum outlines, learning objectives, and roadmaps for comprehensive technical programs. Stay updated with the latest industry trends to incorporate cutting-edge topics and technologies into the content. Review and revise content regularly based on learner feedback and emerging educational strategies. Act as a bridge between content development and product teams, driving feature development and design improvements to support immersive and practical learning experiences. Monitor and report on the progress of content development to ensure alignment with organisational goals.