<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>Senior MLOps Engineer (f/m/d) | Hamburg (Hybrid)</strong></p><p><br/></p><p><strong><em>100,000 predictions per second. 2 billion daily requests. Petabyte-scale data.</em></strong></p><p>If that's the kind of problem you want to spend the next few years inside, read on.</p><p>You'll join a global AdTech platform where ML is the product, not a side project. The infrastructure is live and load-bearing, and now needs a senior engineer to take it to the next stage: sharper training loops, smarter monitoring, faster serving, and a platform that frees Data Scientists from infra work.</p><p><br/></p><p><strong>What you'll own</strong></p><p>Continuous training pipelines, including the harder question of <em>when</em> to retrain, not just how. Model monitoring that catches drift, regressions, and silent failures before they hit revenue. Sub-100ms model serving under real production load. An internal ML platform where Data Scientists ship models, not Kubernetes manifests. Compute and orchestration across Kubernetes, Docker, Airflow, and Kubeflow.</p><p><br/></p><p><strong>Stack</strong></p><ul><li>PyTorch, TensorFlow, NVIDIA Triton, ONNX Runtime, TF Serving, Evidently, AWS.</li></ul><p><br/></p><p><strong>What we're looking for</strong></p><p>5+ years in MLOps or ML Engineering, with production systems at meaningful scale. Hands-on depth in model serving, monitoring, and retraining pipelines. A platform mindset: you build systems that multiply other teams. AdTech experience is a plus, not a requirement.</p><p><br/></p><p><strong>Logistics</strong></p><ul><li>3 days a week in Hamburg. Relocation support available.</li><li>Salary Range - €85-€100k p/a</li></ul><p><br/></p><p><strong>Next step</strong></p><p>Send a CV or LinkedIn link and I'll come back within 24 hours with the company name, comp band, and the full picture.</p> </div>