Job description

Lead Machine Learning, Computer Vision Software Engineer for a global program expanding a high-end household appliance manufacturer into smart product lines, delivering new embedded software and cloud-enhanced capabilities. Based in Dubai, the role works directly with computer vision perception engineers and camera ISP engineers to define image quality requirements for customer use cases; develop image processing algorithms to optimize camera image quality for performance improvement of computer vision applications; design, train from scratch, and integrate custom ML models for visual recognition; perform quantization and pruning of ML models; execute data evaluation using relevant metrics to increase model performance; implement computer vision/image processing algorithms in fast/optimal cross-platform C++ code on embedded Linux; research existing C++ solutions for CV logic; implement heuristic/mathematical algorithms and probabilistic methods for camera AI; integrate machine learning modules into algorithms; and cover algorithms and CV code with unit tests. Tooling and technologies include C/C++, OpenCV, PyTorch, TensorFlow, TensorFlow Lite, embedded Linux, camera ISP pipelines, inference engines, and optional acceleration via OpenCL/CUDA or OpenGL/Vulkan shaders, with additional exposure to Android/Yocto builds. The mandate spans defining image quality requirements, optimizing perception stacks, and continuously ramping up on new CV/ML/algorithmic technologies (not R&D) to deliver production-grade performance across the company’s IP portfolio.