Computer Vision Engineer
1 week ago
About the Role
We're looking for a
Computer Vision Engineer
to join a forward-thinking tech team developing real-world AI solutions in areas like
image recognition, object detection, and visual automation
. You'll work on cutting-edge projects that combine deep learning and computer vision to solve complex visual understanding problems.
Responsibilities
- Design, implement, and optimize computer vision models for detection, tracking, and recognition.
- Work with large-scale datasets to train and fine-tune deep learning models (e.g. CNNs, Transformers).
- Develop robust image and video processing pipelines for real-time applications.
- Collaborate with data scientists, ML engineers, and software developers to integrate CV models into production.
- Stay current with state-of-the-art research and apply new techniques to improve performance and accuracy.
Requirements
- Bachelor's or Master's in Computer Science, Electrical Engineering, or related field.
- 3+ years
of hands-on experience with computer vision and deep learning. - Strong knowledge of
OpenCV, TensorFlow, PyTorch, and Keras
. - Experience with model deployment, optimization (e.g. ONNX, TensorRT), and edge applications is a plus.
- Proficiency in
Python
(C++ is a bonus). - Familiarity with data annotation tools, dataset augmentation, and cloud-based ML environments (AWS, Azure, or GCP).
Nice-to-Have
- Experience in
drone vision, robotics, or autonomous systems
. - Familiarity with SLAM, 3D reconstruction, or real-time tracking systems.
- Contribution to open-source CV projects or published research.
-
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