Computer Vision Engineer
Hul Hub is looking for Computer Vision Engineer who has hands-on experience developing Computer Vision solutions using Machine Learning, Artificial Intelligence, Image Recognition and segmentation. They should have in depth knowledge of relevant open-source tools and frameworks for developing algorithms and models which they will then apply on unstructured data i.e. images and videos to automatically detect objects, behaviors and pattern.
Job Description:
Design architecture for computer vision building blocks and their integration with overall solutionsDevelop Deep Learning Models, Train them and utilize them in automated flowsPort, implement, and optimize machine learning algorithmsBuild the front-end of applications through appealing visual designWrite effective APIsTest software to ensure responsiveness and efficiencyFamiliarity with challenges around big unstructured data (videos/images) during transmission and storageFocus on privacy and security of users, data and systems involved.Review requirements, specifications, and technical design documents to provide timely and meaningful feedbackParticipating in the design and creation of scalable softwareWriting clean, functional codeTroubleshoot, debug and upgrade softwareCreate security and data protection settingsBuild features and applications with a mobile responsive designWork with data scientists and analysts to improve softwareEnsuring cross-platform optimization
Job Specification:
At least 3 years of proven work experience in Computer Vision disciplinesAt least 3 years of hands-on experience with Open source frameworks like OpenCV, Yolo, TensorFlow, Keras, PytorchExperience developing deep learning models and algorithms that would detect and track objects, faces, handwriting and then train them for accuracy before applying them in automated flowsDevelop motion detection algorithms in constrained edge devicesExperience in writing code that would apply these models and extract metadata to expose in form of APIs or forward into other inter-system APIsExperience in processing real-time video streams from various different sources including Onvif/RTSP streams, MPEG/AVI video files, JPEG Streams etc.Knowledge of internal hardware, 3D camera designs, design logic, and camera logic.Knowledge of multiple front-end languages and libraries (e.g., HTML/ CSS, JavaScript, XML, jQuery)Knowledge of multiple languages (e.g., C#, Java, JavaScript, Python)Familiarity with SQL and NoSQL databases (e.g., MySQL, MongoDB), web servers (e.g., Apache, Express) and UI/UX designExperience in 3D computer vision and 3d reconstruction a plusExcellent communication and teamwork skillsStrong analytical skills with excellent attention to detail mindset.Familiarity with Cloud platforms, such as, AWS, Azure etc.Strong understanding of Scrum based agile development life cycleSecurity by design mindset
Apply Now
Job Description:
Design architecture for computer vision building blocks and their integration with overall solutionsDevelop Deep Learning Models, Train them and utilize them in automated flowsPort, implement, and optimize machine learning algorithmsBuild the front-end of applications through appealing visual designWrite effective APIsTest software to ensure responsiveness and efficiencyFamiliarity with challenges around big unstructured data (videos/images) during transmission and storageFocus on privacy and security of users, data and systems involved.Review requirements, specifications, and technical design documents to provide timely and meaningful feedbackParticipating in the design and creation of scalable softwareWriting clean, functional codeTroubleshoot, debug and upgrade softwareCreate security and data protection settingsBuild features and applications with a mobile responsive designWork with data scientists and analysts to improve softwareEnsuring cross-platform optimization
Job Specification:
At least 3 years of proven work experience in Computer Vision disciplinesAt least 3 years of hands-on experience with Open source frameworks like OpenCV, Yolo, TensorFlow, Keras, PytorchExperience developing deep learning models and algorithms that would detect and track objects, faces, handwriting and then train them for accuracy before applying them in automated flowsDevelop motion detection algorithms in constrained edge devicesExperience in writing code that would apply these models and extract metadata to expose in form of APIs or forward into other inter-system APIsExperience in processing real-time video streams from various different sources including Onvif/RTSP streams, MPEG/AVI video files, JPEG Streams etc.Knowledge of internal hardware, 3D camera designs, design logic, and camera logic.Knowledge of multiple front-end languages and libraries (e.g., HTML/ CSS, JavaScript, XML, jQuery)Knowledge of multiple languages (e.g., C#, Java, JavaScript, Python)Familiarity with SQL and NoSQL databases (e.g., MySQL, MongoDB), web servers (e.g., Apache, Express) and UI/UX designExperience in 3D computer vision and 3d reconstruction a plusExcellent communication and teamwork skillsStrong analytical skills with excellent attention to detail mindset.Familiarity with Cloud platforms, such as, AWS, Azure etc.Strong understanding of Scrum based agile development life cycleSecurity by design mindset
Apply Now