Computer Vision AI Lead

About the Role: As a Computer Vision AI Lead, you will be responsible for leading the development of computer vision, machine learning, and deep learning solutions from research to production. This role requires strong technical expertise, leadership skills, architectural vision, and the ability to guide a team in delivering high-impact AI/ML systems. You will work closely with a global R&D team to create intelligent systems that can analyze visual data, detect objects, track movement, and interpret scenes using cutting-edge AI technologies. Roles & Responsibilities: Design and lead the architecture for computer vision algorithms focused on object detection, recognition, tracking, and classification. Develop and optimize deep learning models (CNNs, Transformers, etc.) using frameworks such as TensorFlow, PyTorch, or ONNX. Preprocess, annotate, and manage datasets for training and evaluation purposes. Collaborate with software engineers to integrate models into edge-based or cloud-based platforms. Perform model evaluation, benchmarking, and continuous improvements to achieve real-time performance and high accuracy. Research and stay current with the latest advancements in computer vision and artificial intelligence. Document system designs, experiments, and results for internal knowledge sharing and product development. Lead and mentor team members by conducting training sessions, knowledge-sharing initiatives, career development discussions, and participating in hiring and talent evaluation. Review technical designs, model implementations, code quality, and experiment results to ensure engineering excellence. Required qualification: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field. 2 - 5 years of experience in computer vision or applied AI projects. Strong programming skills in Python and/or C++. Proficient in deep learning frameworks (e.g., PyTorch, TensorFlow, OpenCV). Experience with object detection models (e.g., YOLO, SSD, Faster R-CNN), image classification, or pose estimation. Solid understanding of machine learning fundamentals and model optimization techniques. Estimate timelines, plan experiments, and manage project milestones. Clear communication with both technical and non-technical stakeholders. Familiarity with GPU programming and inference optimization tools (e.g., TensorRT, OpenVINO) is a plus. Ability to work in a collaborative environment and communicate technical ideas clearly. Good command of English (written and spoken) and comfortable working in an international team. Familiar with Git and CI/CD pipelines Join Gorilla Technology – Intelligence, Not Just for Humans At Gorilla Technology, we believe in shaping a smarter, safer, and more connected future. As a global leader in AI-driven solutions for smart cities, security, and edge computing, we are passionate about empowering organizations, governments, and enterprises to unlock the potential of cutting-edge technologies. Our solutions aren't just about technology; they are about making a tangible difference in how cities operate, how businesses thrive, and how communities stay safe. With over two decades of expertise, a presence in multiple countries, and a diverse team of brilliant minds, we are pushing the boundaries of innovation. We foster a culture of collaboration, creativity, and excellence, ensuring that every team member can grow, learn, and contribute to game-changing solutions that have real-world impact. If you're ready to make a difference with your career, to work on projects that transform industries, and to be part of a team that values your contributions, then Gorilla Technology is the place for you. Together, let’s drive innovation, enhance quality of life, and shape the future.