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Computer Vision Engineer
2 months ago
Responsibilities :
- Designing and implementing advanced computer vision algorithms for tracking and detection.
- Developing and optimizing algorithms for person re-identification in multi-camera environments.
- Collaborating with cross-functional teams to integrate computer vision solutions into existing systems.
- Conducting thorough analysis and evaluation of computer vision models, ensuring performance metrics meet or exceed project requirements.
- Working on camera calibration and synchronization for multi-camera setups.
- Staying updated on the latest advancements in computer vision and related fields, applying relevant knowledge to enhance the technology stack
- Collaborating with hardware and software teams to ensure seamless integration of computer vision solutions.
Qualifications, Skills, and Competencies :
- 3 to 7 years of proven work experience in Deep learning, Multicam Systems, NVIDIA Deepstream, and Object Detection and Tracking.
- Proven work experience in real-world projects involving surveillance systems, security, or related fields.
- Excellent knowledge of deep learning techniques applied to computer vision.
- Proven work experience with edge computing and deploying computer vision models on embedded systems.
- Master's or PhD in Computer Science, Electrical Engineering, or a related field.
- Experience in developing and implementing computer vision algorithms, focusing on object detection, tracking, and person re-identification.
- Strong programming skills in languages such as Python, C++, or similar.
- Familiarity with popular computer vision libraries and frameworks such as OpenCV, TensorFlow, PyTorch, etc.
- Excellent problem-solving skills and the ability to work independently as well as a part of a collaborative team.
- Strong communication skills with the ability to convey complex technical concepts to technical and non-technical stakeholders.
