Computer Vision Engineer
2 days ago
We are looking for a Computer Vision Engineer to join our team and help push the boundaries of AI-driven object detection, segmentation, and pose estimation. If you have a passion for working with cutting-edge models like YOLO and have delivered industry-level solutions, we'd love to hear from you
Responsibilities:
- 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.
- Work on Visual Language Models (VLMs) to develop advanced vision-based analysis—understanding what's happening in videos and assessing the severity of events.
- Deploy models on production servers, optimize for scalability, and improve system performance. Collaborate with the AI/ML team to continuously enhance model accuracy and robustness.
- Collaborate with AI, engineering, and product teams to integrate models into our smart security and surveillance solutions.
What We're Looking For:
- 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.
- Deep understanding of VLMs (Visual Language Models) and ability to develop event analysis solutions from videos.
- Proficiency in Python, TensorFlow, PyTorch, OpenCV and related frameworks.
- Experience in deploying models in cloud-based and edge environments.
- Hands-on experience in deploying models on production servers and optimizing performance.
Mid-Senior level
Employment TypeFull-time
Job FunctionInformation Technology
IndustriesTechnology, Information and Internet
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