
Developing Advanced Image Recognition Systems
2 days ago
We are seeking a skilled Computer Vision Engineer to join our team.
You will work on developing and implementing computer vision systems and models, tackling real-world challenges through image recognition, object detection, and video analysis.
- Algorithm Development: Design and implement efficient computer vision algorithms for various applications.
- Model Training: Train advanced models for object detection, segmentation, and classification using PyTorch and TensorFlow.
- Dataset Analysis: Work with large image and video datasets to develop and refine computer vision models.
- Inference Optimization: Optimize inference pipelines for real-time applications and improve overall system performance.
- Cross-Functional Collaboration: Collaborate with AI and software engineering teams to integrate computer vision solutions into larger projects.
Requirements:
- Qualifications: Bachelor's or Master's degree in Computer Vision, AI, or related field.
- Experience: 2+ years of experience in computer vision projects, with expertise in OpenCV.
- Tech Skills: Strong knowledge of PyTorch, TensorFlow, and experience with YOLO, SSD, or similar frameworks.
Work Environment:
- Work Mode: On-site work from our office.
Note: While we strive to provide a competitive compensation package, the specifics of the salary and benefits will be discussed during the hiring process.
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