8 of 8 Remote OpenCV Jobs

on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents. Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs. Preferred Experience: Experience using PostgreSQL for data storage and management. More ❯

Work in a hybrid environment, balancing on-site and remote support as needed. Required Qualifications: • Experience with geospatial image processing techniques. • Proficiency in Python and relevant libraries (e.g., GDAL, OpenCV, NumPy, Rasterio). • Strong understanding of image enhancement, void filling, and algorithm development. • Ability to work independently and collaboratively in a hybrid work environment. • Active Top Secret clearance (TS More ❯

physics, and geospatial mapping. Working with sensor hardware and electronics. Networking principles, protocols, and services. Application development across embedded, desktop, and web platforms. Video and radar signal processing (e.g., OpenCV). AI-based, hardware-accelerated image processing (e.g., YOLO). Familiarity with Enterprise Systems architecture. Experience with version control systems (Git) and SDLC automation tools. Excellent problem-solving, debugging More ❯

physics, and geospatial mapping. Working with sensor hardware and electronics. Networking principles, protocols, and services. Application development across embedded, desktop, and web platforms. Video and radar signal processing (e.g., OpenCV). AI-based, hardware-accelerated image processing (e.g., YOLO). Familiarity with Enterprise Systems architecture. Experience with version control systems (Git) and SDLC automation tools. Excellent problem-solving, debugging More ❯

cross-platform code libraries (Linux, Windows, Android) using C++, following object-oriented design principles and employing CMake for build management. Develop and integrate robotics applications utilizing ROS, including advanced OpenCV, Boost, Standard library, and Jsoncpp for efficient data processing and manipulation. Implement machine learning models for object detection, particularly using YOLOv5, and optimize performance using Nvidia CUDA hardware acceleration. More ❯

API design and version control (Git) Comfortable working in Agile environments with cross-functional teams Bonus points for: Experience with state management tools like Zustand or Redux Familiarity with OpenCV or Google MediaPipe Ability to convert Figma/Sketch/XD designs into React components Exposure to automated testing tools like Jest, Cypress, or pytest This role offers an More ❯

API design and version control (Git) Comfortable working in Agile environments with cross-functional teams Bonus points for: Experience with state management tools like Zustand or Redux Familiarity with OpenCV or Google MediaPipe Ability to convert Figma/Sketch/XD designs into React components Exposure to automated testing tools like Jest, Cypress, or pytest This role offers an More ❯

ideas. Key responsibilities include: Designing and optimising deep learning models for real-world performance. Building robust computer vision pipelines for detection, segmentation, and tracking. Combining classical computer vision methods (OpenCV, feature extraction, motion tracking) with modern CNN architectures. Experimenting with advanced detection and segmentation heads to enhance accuracy. Curating, managing, and optimising large datasets for effective training. Applying strong … models. Contributing to a collaborative research culture, sharing insights and results with peers. Key experience needed: Proven experience in optimising and deploying deep learning models at scale. Expertise in OpenCV and classical computer vision approaches. Strong knowledge of CNN building blocks, training dynamics, and segmentation/detection techniques. Skilled in dataset curation and management for machine learning pipelines. A More ❯