1. Working knowledge of deep learning, machine learning, and statistics
2. Working knowledge in deep learning using convolutional neural networks (CNN), recurrent neural networks (RNN), and LSTM
3. Knowledge of deep learning applications with computer vision, image captioning, video analysis, image manipulation, image segmentation, object detection, and feature mapping
4. Functional expertise in DL modeling practices specific to data at hand (size of the model, training procedures, hand-designed layers, etc.)
5. Thorough understanding of state-of-the-art DL concepts (sequence modeling, attention, convolution, etc.) along with a knack for imagining new schemas that work for the given data
6. NLP expertise, especially in language modeling, experience in using pre-trained language models (transformer/GPT/BERT)
7. Degree in statistics, applied mathematics, or a related discipline
8. Professional deep learning training certifications
9. Only those who have completed their graduation in 2023 in computer science/AI
10. Should have completed a minimum of one internship in AI/ML
Annual CTC: ₹ 3,00,000 - 4,00,000 /year
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