<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>Senior Machine Learning Engineer</strong></p><p><br/></p><p>You've been doing ML for a few years and you're good at it. But you're stuck on one product, one dataset, one problem shape. You'd rather solve different problems every few months.</p><p><br/></p><p>Senior ML role at an AI consultancy in Zürich. You'd work across enterprise clients and industries, owning projects end-to-end: framing the problem, choosing the approach, building the model, deploying it so the output gets used. The projects aren't textbook. You need range across deep learning, classical ML, and data engineering, plus the judgement to pick the right tool for each problem.</p><p><br/></p><p>Python-based stack (PyTorch, TensorFlow, scikit-learn), deployment through Databricks/Snowflake and REST APIs. You'd present to non-technical stakeholders — explain what you built and why it matters without jargon.</p><p><br/></p><p>International team, growing across Switzerland and beyond. Zürich-based, flexible working, with an education budget that makes sense when every project is different.</p><p><br/></p><p>You'll need:</p><ul><li>Strong Python and production ML experience</li><li>Range across deep learning, classical ML, and deployment</li><li>Comfortable presenting to non-technical clients</li><li>Track record of shipping models people actually use</li></ul><p><br/></p><p>Drop me a message if you'd like to hear more.</p> </div>