Video AI Engineer - Recognition & Reasoning

As a Deep Learning Engineer at Streamingo.ai, you will play a crucial role in pioneering the next wave of innovation in Video AI. Your responsibilities will include: - Being the bridge between cutting-edge academic research and deployable, production-grade features on https://deeplabel.app. - Designing, developing, and optimizing Deep Learning models for human activity analysis in videos. - Taking ownership of your modules to ensure they are robust, efficient, and seamlessly integrated with our AI platform. Qualifications we are seeking in a candidate: - 4-5 years of industry experience, with 2-3 years specifically in practical, project-driven Deep Learning in the Video AI domain. - Proficiency in Python coding. - Deep practical knowledge of PyTorch and ONNX. - Proven track record of deploying data pipelines for Computer Vision projects. - Ability to independently set up, troubleshoot, and optimize Linux workstations (CUDA, OpenCV). - Strong grasp of Deep Learning concepts and demonstrated experience with activity detection or object detection implementations. - Keen ability to read and implement new approaches from research papers. If you are energized by tackling complex problems, transforming research into real-world applications, and making a significant impact in the world of Video AI, this opportunity is for you! Apply today to be part of our innovative team at Streamingo.ai.,