Responsibilities From Research to Reality: You'll be the bridge between cutting-edge academic research (activity recognition, multi-camera tracking, Video Language Models) and deployable, production-grade features on https://deeplabel.app . Building Solutions: Design, develop, and optimize Deep Learning models for human activity analysis in videos, from initial concept to final deployment. System Ownership: Take charge of your modules, ensuring they're robust, efficient, and seamlessly integrated with our AI platform, collaborating closely with our full-stack team. Requirements 4-5 years of industry experience, with 2-3 years specifically in practical, project-driven Deep Learning in the Video AI domain. Rock-solid Python coding skills. Deep practical knowledge of PyTorch and ONNX. Proven track record of deploying data pipelines for Computer Vision projects. The ability to independently set up, troubleshoot, and optimize Linux workstations (CUDA, OpenCV). A strong grasp of Deep Learning concepts (optimizers, attention, masking, model tuning). Demonstrated experience with activity detection or object detection implementations. A keen ability to read and implement new approaches from research papers. Your Personality Is Just As Important You're incredibly curious and love to experiment. You have an unwavering commitment to learning and overcoming challenges. You're a great communicator and thrive in a collaborative environment. You take full ownership of your work, seeing it through to successful deployment. This job was posted by Vinay Ts from Streamingo.
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.,