<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>Role: AI/ML Engineer </strong></p><p><strong>Location: Vienna, Austria</strong></p><p><strong>Type: Contract </strong></p><p><br/></p><p><strong>Job Responsibilities</strong></p><ul><li>Develop and implement deep learning models for image processing using Convolutional Neural Networks (CNNs)</li><li>Build and optimize real-time object detection and image segmentation systems using models such as YOLO and SAM</li><li>Work with leading AI frameworks including PyTorch and TensorFlow</li><li>Convert, optimize, and deploy models using formats such as ONNX for production environments</li><li>Design and implement efficient and scalable data processing pipelines for large-scale image datasets</li><li>Develop robust Python-based software systems following software engineering best practices</li><li>Collaborate with cross-functional teams to integrate AI models into end-to-end applications</li></ul><p><br/></p><p><strong>Required Skills &amp; Qualifications</strong></p><ul><li>Strong understanding of deep learning concepts and computer vision fundamentals</li><li>Hands-on experience with PyTorch and/or TensorFlow</li><li>Experience with object detection and segmentation models (e.g., YOLO, SAM or similar)</li><li>Proficiency in Python and software development principles</li><li>Experience working with model optimization and deployment workflows (e.g., ONNX)</li><li>Ability to design scalable data pipelines and handle large datasets</li></ul><p><br/></p><p><strong>Preferred Qualifications</strong></p><ul><li>Experience deploying models in production environments</li><li>Familiarity with GPU acceleration and performance optimization</li><li>Knowledge of MLOps tools and practices</li><li>Strong problem-solving and analytical skills</li></ul> </div>