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Your Responsibilities will include Work Actively as a part of the Computer Vision and Deep Learning Team to Train Computer Vision Models Work closely with the Data Sampling Team for Appropriate Dataset Collection Work on Challenging Problem Statements to fine-tune models with a Huge Dataset Implementation of the SOTA Architectures for Model Training What are we looking for Proven work experience of 2-4 years. Proficient in Training of Detection/Classification/Segmentation Models with TensorFlow/PyTorch Good understanding of Dataset Quality for Computer Vision Applications. Strong understanding of Model Training Dynamics. Should be able to find out the error and resolve it based on training/eval metrics. Good Theoretical and Practical Knowledge of the fundamentals of Deep Learning, e.g. CNNs, Regularization Techniques, etc. Familiarity with State-of-the-Art Models like YOLO-series, Efficient Net/EfficientDet, etc. Experience with using Docker containers for... Computer Vision/Deep Learning. Videoverse focuses on Video, Technology, Artificial Intelligence / Machine Learning, and B2B SaaS Mobile Artificial Intelligence / Machine Learning. Their company has offices in Indore and Mumbai. They have a mid-size team that's between 51-200 employees. You can view their website at https://vverse.ai,

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