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2 days ago
We are seeking a highly skilled Computer Vision Engineer to help drive innovation in AI-driven object detection, segmentation, and pose estimation.
Job DescriptionRole Summary: Develop and optimize computer vision models for real-world applications, including object detection, segmentation, and pose estimation. Implement ML pipelines for model training, evaluation, deployment, and post-production improvements based on user feedback.
- Develop advanced computer vision algorithms for object detection, segmentation, and pose estimation.
- Implement machine learning pipelines for model training, evaluation, and deployment.
- Collaborate with the AI/ML team to continuously enhance model accuracy and robustness.
Key Responsibilities: Strong expertise in object detection, segmentation, and pose estimation. Experience with YOLO, Detectron, Mask R-CNN, and other industry-standard models. Hands-on experience with ML pipelines for vision models, from training to deployment and retraining based on real-world feedback.
- Proficiency in Python, TensorFlow, PyTorch, OpenCV and related frameworks.
- Experience in deploying models in cloud-based and edge environments.
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