Job Requirements : Must Have Technical Skills Solid experience in Computer Vision techniques such as object detection, image/video segmentation, and multi-object tracking. Expertise in deep learning models including VLMs, GANs, and CNN-based architectures for vision tasks. Hands-on experience with PyTorch / TensorFlow and Python. Experience working on Edge AI platforms (NVIDIA, Qualcomm, or similar edge devices). Exposure to synthetic data generation pipelines (custom or standard platforms). Positive-to-Have Skills: Knowledge of MLOps pipelines, model deployment, and monitoring Experience in model optimization and performance tuning Familiarity with cloud platforms or distributed training settings.
Role & responsibilities : Design, develop, and deploy computer vision models for real-world applications Implement, train, and fine-tune deep learning models for vision-based tasks Develop and optimize synthetic data pipelines for training robustness Deploy AI models on edge devices ensuring performance and scalability Collaborate with cross-functional teams to integrate CV solutions into products Perform model evaluation, debugging, and performance optimization Contribute to MLOps workflows and automation pipelines.