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 solutions
• Develop Deep Learning Models, Train them and utilize them in automated flows
• Port, implement, and optimize machine learning algorithms
• Build the front-end of applications through appealing visual design
• Write effective APIs
• Test software to ensure responsiveness and efficiency
• Familiarity with challenges around big unstructured data (videos/images) during transmission and storage
• Focus on privacy and security of users, data and systems involved.
• Review requirements, specifications, and technical design documents to provide timely and meaningful feedback
• Participating in the design and creation of scalable software
• Writing clean, functional code
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Work with data scientists and analysts to improve software
• Ensuring cross-platform optimization

Job Specification:

• At least 3 years of proven work experience in Computer Vision disciplines
• At least 3 years of hands-on experience with Open source frameworks like OpenCV, Yolo, TensorFlow, Keras, Pytorch
• Experience 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 flows
• Develop motion detection algorithms in constrained edge devices
• Experience in writing code that would apply these models and extract metadata to expose in form of APIs or forward into other inter-system APIs
• Experience 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 design
• Experience in 3D computer vision and 3d reconstruction a plus
• Excellent communication and teamwork skills
• Strong 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 cycle
• Security by design mindset