About the Job:
Our client, a leading manufacturer of high-end household appliances, is expanding into new smart product lines. As part of this strategic initiative, a large-scale global program is being implemented across the company's IP portfolio. This includes the development of new embedded software and enhancements to cloud infrastructure.
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Responsibilities:
- Work directly with computer vision perception engineers and camera ISP engineers.
- Define image quality requirements for customer use cases.
- Develop image processing algorithms to optimize camera image quality for performance improvement of computer vision applications.
- Develop custom ML models for visual recognition and train from scratch.
- Perform quantization and pruning of ML models.
- Evaluate data using relevant metrics to increase model performance.
- Implement computer vision/image processing algorithms in fast/optimal C++ code.
- Implement heuristic/math algorithms and probabilistic methods for camera AI.
- Research existing C++ solutions for CV logic.
- Develop cross-platform C++ code.
- Cover algorithms and CV code with unit tests.
- Ramp up on new technologies related to CV/ML/algorithms (not R&D).
- Integrate machine learning modules into algorithms.
Skills Requirements:
Must Have:
- Bachelor's Degree or greater in Computer Science, Software Engineering, or related field.
- 3-5 years of experience developing computer vision applications/algorithms.
- Participation in at least 2 image processing/computer vision projects, with at least 1 productized.
- Strong background/understanding of image processing/computer vision.
- Strong C/C++ experience.
- Experience with OpenCV and ML frameworks such as PyTorch, TensorFlow, TensorFlow Lite.
- Deep understanding of neural network architectures.
- Experience working with embedded devices in C++ on Linux.
- Decent understanding of geometry (2D/3D) and algebra.
- Desire to learn new technologies.
- Commitment to test-driven development (in CV/ML too).
Nice to Have:
- Experience with machine learning integration and inference engines.
- General understanding of machine learning.
- Experience building for Android/Yocto.
- Understanding of OpenCL/CUDA or OpenGL/Vulkan (shaders) and a desire to learn or experience with different SIMD languages.
Location:
Dubai, United Arab Emirates
Work Conditions:
On-site, Full-time
