
Computer Vision Professional
2 days ago
This role involves developing and optimizing computer vision models for various applications. The successful candidate will have expertise in object detection, segmentation, and pose estimation.
Key Responsibilities:
- Implementing ML pipelines for model training, evaluation, and deployment.
- Collaborating with the AI/ML team to improve model accuracy and robustness.
- Developing and deploying VLMs for event analysis from videos.
- Working with industry-standard models like YOLO, Detectron, and Mask R-CNN.
Requirements:
- Strong background in computer vision and machine learning.
- Experience with ML frameworks like TensorFlow, PyTorch, and OpenCV.
- Proficiency in Python programming language.
- Hands-on experience with deploying models in cloud-based and edge environments.
Benefits:
- Opportunities for career growth and development.
- Collaborative team environment with experts in AI and ML.
- Competitive compensation package.
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