<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>Your Responsibilities</strong></p><ul><li>Develop and transition machine learning prototypes into robust, production-ready systems for real-time analytics</li><li>Design and implement scalable ML pipelines and data processing solutions for large-scale datasets</li><li>Build and maintain CI/CD processes and automated testing to ensure quality and reliability</li><li>Collaborate closely with cross-functional teams to integrate ML solutions into existing system landscapes</li><li>Contribute to architectural decisions and technical standards</li></ul><p><br/></p><p><strong>Your Profile</strong></p><ul><li>Degree in Computer Science, Machine Learning, or a comparable qualification</li><li>At least 5 years of experience in software engineering or machine learning engineering, ideally in production environments</li><li>Strong programming skills (e.g., Python) and experience with at least one additional programming language</li><li>Solid understanding of MLOps practices (versioning, deployment, monitoring, continuous improvement)</li><li>Experience with container technologies and CI/CD workflows</li><li>Nice to have: experience with real-time data, streaming systems, or distributed applications</li></ul><p><br/></p><p><strong>What You Can Expect</strong></p><ul><li>Work on innovative, data-driven products in an international environment</li><li>Flexible working hours and modern work conditions</li><li>Opportunities for professional and personal development</li><li>Collaborative team and open company culture</li><li>Competitive salary and additional benefits</li></ul><p></p> </div>