<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>🤖 Machine Learning Engineer – Computer Vision &amp; Generative AI – 100%</p><p><br/></p><p>📍 Berlin, Germany | 💰 €50,000 - €70,000 + Benefits | 🌍 Hybrid Working</p><p><br/></p><p>Our client is a technology-driven organisation developing intelligent software solutions that leverage artificial intelligence, automation, and advanced data processing to solve complex business challenges at scale.</p><p><br/></p><p>Operating at the intersection of machine learning, software engineering, and product innovation, they are investing heavily in next-generation AI capabilities and expanding their engineering team to support the continued evolution of their platform and services.</p><p><br/></p><p>This role is ideal for a Machine Learning Engineer who enjoys taking cutting-edge AI solutions from research to production and wants to work on technically challenging projects with tangible real-world impact.</p><p><br/></p><p>⚙️ Tech Stack:</p><p>Python, PyTorch, TensorFlow, Computer Vision, Generative AI, Diffusion Models, GANs, Image Processing, Machine Learning, Docker, Cloud Platforms, Production ML Systems, Automation, AI Workflows</p><p><br/></p><p>🚀 About the Role:</p><p><br/></p><ul><li>As a Machine Learning Engineer, you will:</li><li>Develop, train, and optimise machine learning models focused on computer vision and generative AI applications</li><li>Build and deploy scalable ML solutions into production environments</li><li>Design automation solutions that reduce manual effort and improve operational efficiency</li><li>Monitor model performance, identify improvement opportunities, and enhance reliability and accuracy</li><li>Collaborate closely with engineering, product, and operational teams to deliver practical AI-driven solutions</li><li>Research emerging technologies and rapidly evaluate their suitability for business applications</li><li>Contribute to the evolution of production-grade machine learning infrastructure and workflows</li></ul><p><br/></p><p>➕ Nice to Have:</p><p><br/></p><ul><li>Several years of hands-on experience within machine learning and computer vision</li><li>Strong Python development skills with experience using frameworks such as PyTorch or TensorFlow</li><li>Practical experience working with generative AI technologies including diffusion models and GANs</li><li>Understanding of ML deployment, scalability, performance optimisation, and production environments</li><li>Experience with Docker and cloud-based infrastructure</li><li>Knowledge of creative AI tools and visual content workflows</li><li>Experience working with image-based products, digital content platforms, or related industries</li><li>Strong analytical thinking combined with a pragmatic, solution-oriented mindset</li><li>Ability to communicate effectively in an international and cross-functional environment</li></ul><p><br/></p><p>💪 Benefits:</p><p><br/></p><ul><li>Opportunity to work on cutting-edge AI and machine learning technologies</li><li>Highly collaborative and innovative working environment</li><li>Flexible working arrangements with hybrid options</li><li>Exposure to challenging technical problems with real-world impact</li><li>Professional development support, training, and continuous learning opportunities</li><li>Modern working environment with strong team culture and regular social activities</li></ul><p><br/></p><p><em>✉️ Due to the volume of applications, we may not be able to respond to everyone individually. However, we genuinely appreciate every application and will contact shortlisted candidates directly.</em></p> </div>