
Expert Visionary
1 day ago
Job Title: Visionary Engineer
">This role is ideal for an experienced computer vision expert who can develop innovative algorithms and deploy them on various platforms.
">Responsibilities:
">- ">
- Develop and optimize depth estimation and optical flow algorithms for mobile, AR/VR, and automotive applications;">
- Research and implement power-efficient computer vision algorithms, deep learning architectures, and models in AI-enabled camera, video, and AR/VR products;">
- Develop or optimize image processing and computer vision algorithms for hardware acceleration;">
- Support product teams for commercialization, including solution optimization, performance profiling, and benchmarking;">
- Proficiency in programming languages such as Python (NumPy, OpenCV, TensorFlow, PyTorch) for developing computer vision algorithms and applications;">
- Strong understanding of computer vision fundamentals, including image processing techniques (filtering, morphological operations), feature extraction (SIFT, HOG, Optical Flow), object detection (YOLO, SSD, R-CNN), segmentation (U-Net, Mask R-CNN), and tracking;">
- Experience with deep learning frameworks such as TensorFlow, PyTorch, Keras, and OpenCV for developing and deploying deep neural networks for computer vision tasks;">
- Knowledge of popular deep learning architectures for computer vision such as CNNs, RNNs, GANs, & Transformer models;">
- Strong mathematical foundations, including linear algebra, calculus, probability theory, and optimization techniques (e.g., gradient descent, Adam optimizer) used in ML algorithms;">
- Prior exposure to cloud platforms (preferably AWS) to deploy data pipelines and use tools/services like AWS SageMaker, Kinesis, MLFlow etc.;">
- Exposure to Generative AI algorithms for Computer Vision like Stable Diffusion is a plus;">
- Experience with GPU programming and optimization using CUDA or OpenCL for accelerating deep learning computations is a huge plus;">
- Proficient in using computer vision libraries and tools for feature extraction, image registration, and object recognition.">
Required Qualifications:
">- ">
- Background in digital image processing and computer vision fundamentals;">
- Background in depth estimation and optical flow algorithms;">
- Working knowledge with Open CV and vision algorithms (feature detection/description and matching);">
- Strong knowledge in data structures and working experience with C/C++ programming.">
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