Senior Computer Vision Engineer Position Available
2 days ago
We are looking for a skilled computer vision specialist to join our team. The ideal candidate will have experience in designing, developing and deploying computer vision solutions using deep learning techniques.
The successful candidate will be responsible for implementing object detection, image classification, segmentation and tracking solutions using YOLO and other relevant architectures. They will also use OpenCV and PyTorch for image preprocessing, augmentation and model training.
Key Responsibilities:- Design and implement computer vision models and systems tailored to business requirements using deep learning techniques.
- Develop object detection, image classification, segmentation and tracking solutions using YOLO and other relevant architectures.
- Use and customize OpenCV and PyTorch for image preprocessing, augmentation and model training.
- Optimize model performance for both accuracy and inference speed on edge devices and cloud environments.
- Work with large-scale datasets, data collection, cleaning, annotation and augmentation.
- Perform rigorous validation and testing of CV models to ensure robustness and generalizability.
- Collaborate with cross-functional teams for integration of computer vision modules into products and platforms.
- Stay up-to-date with the latest research trends, tools and libraries in computer vision and deep learning.
- 4-8 years of industry experience in developing and deploying computer vision applications.
- Proficiency in Python with hands-on experience in PyTorch for deep learning model development.
- Strong command of OpenCV for image and video processing tasks.
- Expertise in YOLO, You Only Look Once, for real-time object detection.
- Solid understanding of computer vision fundamentals including feature extraction, object detection, classification and tracking.
- Experience in training, fine-tuning and evaluating deep learning models on real-world datasets.
- Ability to write clean, efficient and modular code with proper documentation.
- Familiarity with GPU acceleration and performance optimization for inference.
- Experience working with version control systems like Git.
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