AI Engineer - Visual AI Pipeline Development
November 5
Description
• Develop and optimize software pipelines for visual AI applications using C++ and Python. • Integrate and build upon open-source components to create scalable and efficient pipelines. • Collaborate with data scientists and machine learning engineers to design innovative solutions. • Troubleshoot and optimize performance of visual AI pipelines, addressing latency and accuracy challenges. • Keep abreast of advancements in computer vision and evaluate new open-source tools. • Develop and maintain documentation for pipeline architecture and best practices.
Requirements
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Computer Vision, or a related field, or equivalent practical experience. • 3+ years of experience in software engineering, with proficiency in C++ and Python programming languages. • Strong understanding of computer vision principles and experience in visual AI applications, including object detection, image classification, and segmentation. • Hands-on experience with open-source visual AI libraries and frameworks (e.g., OpenCV, PyTorch, TensorFlow, ONNX). • Familiarity with developing end-to-end pipelines, including data preprocessing, model training, inference, and deployment. • Knowledge of performance optimization techniques, such as parallel processing, GPU acceleration, and memory management. • Ability to work with cross-functional teams, including data scientists and DevOps engineers, to integrate visual AI pipelines into broader systems. • English required • Experience with containerization tools (Docker) and cloud platforms (AWS, GCP, Azure) for deploying visual AI applications (preferred). • Familiarity with machine learning model optimization techniques, such as quantization, pruning, and distillation (preferred). • Knowledge of MLOps best practices, including CI/CD for machine learning and model monitoring (preferred). • Contributions to open-source projects, especially in the computer vision domain (preferred).
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