Image Processing Engineer
2 days ago
Job Description : Image Processing Engineer
We are seeking a talented and motivated Image Processing Engineer with a strong background in deep learning and traditional image processing- algorithms for real-world applications.
You will work on cutting-edge projects in image recognition, object detection, tracking and other visual AI tasks.
Key Responsibilities :
- Analysing the requirements from the top level and breaking up the problem into algorithms, and hence choosing the right solution by using traditional or deep learning methods.
- Designing and realizing identified algorithms.
- Fine-tune and optimize deep learning models (e.g, CNNs, YOLO, Mask-RCNN) for performance and efficiency in production environments.
- Collaborate with the engineering and product teams to deploy models in real-world applications.
- Research and integrate new algorithms and techniques to improve model performance and robustness.
- Develop custom data augmentation pipelines to improve training efficiency and accuracy.
- Evaluate model performance and conduct error analysis to guide further improvements.
- Stay up to date with the latest developments in computer vision and deep learning.
Qualifications :
Educational Background : Bachelor's or master's degree in computer science, Artificial Intelligence, or related fields.
Experience : 4+ years of hands-on experience in deep learning and computer vision.
Essential Qualifications :
- Proficient in C/C++.
- Proficiency in traditional image processing algorithms.
- Deep learning frameworks and solid experience with object detection models (e.g, YOLO), and face recognition models.
- Proven experience in training and deploying computer vision models at scale.
- Familiarity with OpenCV.
Desirable Qualifications :
- Working experience on algorithms for Surveillance Cameras
- Experience with cloud platforms (AWS, Azure) and deploying models in production.
- Knowledge of edge AI technologies and hardware accelerators.
- Ability to optimize models for resource-constrained environments.
Work location : Bangalore
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