AI & Computer Vision Engineer

We are seeking a talented AI & Computer Vision Engineer to design and implement real-time object detection systems. The ideal candidate will have hands-on experience with deep learning frameworks and computer vision libraries, and be able to build scalable solutions for real-world applications. Responsibilities Develop and optimize real-time object detection models (YOLO, SSD, etc.). Implement and fine-tune deep learning pipelines using frameworks like TensorFlow, PyTorch, or OpenCV. Integrate detection models into production-ready applications with efficient inference. Work with video streams, edge devices, and cloud-based deployments. Collaborate with our team to define requirements and deliver robust AI solutions. Document workflows and provide support for deployment and maintenance. Requirements Proven experience in computer vision and deep learning. Strong knowledge of object detection algorithms and model optimization. Proficiency in Python and libraries such as OpenCV, PyTorch, TensorFlow. Experience with real-time video processing and GPU acceleration. Ability to deploy models on edge devices (NVIDIA Jetson, Raspberry Pi, etc.) or cloud platforms. Strong problem-solving skills and ability to work independently. Nice-to-Have Experience with tracking algorithms (SORT, DeepSORT). Knowledge of model compression (quantization, pruning). Familiarity with MLOps and CI/CD for AI pipelines. Background in AI for sales, retail, or industrial automation. Project Scope This is a freelance project-based role with potential for ongoing collaboration. The engineer will help us build real-time detection systems that can scale across multiple use cases, delivering accuracy, speed, and reliability.