Computer Vision Engineer Job

Key responsibilities:

1. Design and implement advanced computer vision algorithms for Detection and Tracking
2. Collaborate with hardware and software teams to seamlessly integrate computer vision solutions
3. Own the development and implementation of pipelines for computer vision and machine learning algorithms, ensuring software efficiency

Requirements:

1. Proven work experience in Convolutional Neural Networks, Object Detection, Semantic Segmentation, and Instance Segmentation
2. Strong programming skills in Python, C++, and C, with experience in ML Frameworks such as Caffe, Tensorflow, and Pytorch
3. Hands-on Experience with traditional image processing techniques (feature engineering) using OpenCV, Pillow
4. Proficiency in building ML models on various deep learning and machine learning libraries using Pytorch, TensorFlow, Keras, and NumPy
5. Hands-on experience in computer vision and machine learning projects, solving real-world problems involving vision tasks
6. Proven work experience with edge computing and deploying computer vision models on embedded systems
7. Strong understanding of Deep Learning Algorithms in the Computer Vision domain (CNN, RNN, LSTM, etc.)
8. Work experience in real-world projects involving surveillance systems, security, or related fields would be a plus
9. Excellent problem-solving skills and the ability to work independently as well as a part of a collaborative team
10. Strong communication skills with the ability to convey complex technical concepts to technical and non-technical stakeholders
11. A go-getter attitude with a willingness to learn new technologies

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