Join a global technology company that designs and develops advanced consumer electronics used in everyday life. The team focuses on building next-generation video and AI solutions that power connected devices, enhancing safety, usability, and user experience worldwide. As a Senior Computer Vision Engineer, you’ll be part of an R&D team working on cutting-edge vision systems, developing and deploying machine learning models that run in real time on edge devices.
responsibilities :
Design and implement deep learning models for detection, tracking, and video analytics
Build efficient training pipelines using labelled and large-scale unlabelled datasets
Optimize models for edge deployment (quantization, pruning, distillation) to ensure real-time performance
Write clean, production-quality Python code with tests and maintainable structure
Debug and resolve ML issues (e.g., loss calculation, gradient, convergence, or performance bottlenecks)
Collaborate with cross-functional hardware/software teams to bring models from research to production
requirements-expected :
5+ years of experience in computer vision or deep learning engineering
Strong hands-on knowledge of PyTorch for computer vision tasks (CNNs, Transformers, representation learning)
Experience with model exporting standards (ONNX, TensorRT) and optimization for resource-constrained devices
Familiarity with video processing pipelines and large-scale dataset handling
