Image Processing Engineer

2 days ago


Bangalore, Karnataka, India Sapwood Full time

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

(ref:hirist.tech)

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