AI/ML Lead Facial Recognition & Video Intelligence

As an AI/ML Lead specializing in Facial Recognition & Video Intelligence at Live Eye Surveillance, your primary responsibility will be to drive the development of advanced features for our AI-powered Video Management Software (VMS) platform. You will play a crucial role in leading the research, creation, and optimization of AI models that enhance real-time monitoring and security operations using IP camera feeds. Additionally, you will oversee a team of AI/ML engineers, collaborating with cross-functional teams to ensure the seamless integration of cutting-edge AI modules into our surveillance technology. Your contributions will directly impact the efficiency, accuracy, and scalability of our security solutions across various business environments. To excel in this role, you should possess at least 3 years of practical experience in Machine Learning and Deep Learning, with a focus on Computer Vision. Proficiency in Python, TensorFlow/PyTorch, OpenCV, and other relevant deep learning libraries is essential for creating robust models for facial recognition and object detection. Your expertise in optimizing AI pipelines for real-time performance and compatibility with edge devices will be critical for ensuring the effectiveness of our surveillance systems. Furthermore, your ability to lead, mentor, and inspire a team of AI/ML engineers, combined with strong communication and problem-solving skills, will be key assets in driving the success of our AI initiatives. Ideally, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience with optimization tools such as ONNX, TensorRT, and familiarity with integrating AI models with IP camera feeds using RTSP/ONVIF protocols will be advantageous. Keeping abreast of the latest advancements in deep learning and computer vision research is essential to stay ahead in this rapidly evolving field. Additionally, any background in surveillance systems, familiarity with cloud platforms like AWS, Azure, or GCP, and experience with deploying ML models using Docker, Git, and CI/CD pipelines would be beneficial. Joining Live Eye Surveillance offers a unique opportunity to lead in a dynamic environment and contribute to the development of innovative security technologies. You will have the chance to work on groundbreaking projects, collaborate with talented teams, and make a tangible impact on global security deployments. At Live Eye, we offer a competitive compensation package, a flexible hybrid work setup, and the potential for rapid career growth. If you are passionate about leveraging AI and ML to enhance security solutions, we invite you to send your resume to careers@myliveeye.com and explore the exciting opportunities available at www.myliveeye.com.,