<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>Forward Deployed AI/ML Model Engineer | Zurich (Hybrid) | </strong></p><p><br/></p><p>A well-established Swiss RegTech company (1,000+ clients, 80+ countries) is hiring a Forward Deployed AI/ML Model Engineer to join their R&amp;D team in Zurich.</p><p><br/></p><p>This is a hands-on model engineering role with a client-facing dimension. You'll build, tune and deploy ML models directly into banking client environments, including air-gapped and on-premises deployments. This is not a research or internal tooling role, instead you will be owning models in production, inside regulated financial infrastructure.</p><p><br/></p><p><strong>What you'll be doing:</strong></p><ul><li>Building, fine-tuning and monitoring AI/ML models (fraud detection, AML, sanctions screening) running on Kubernetes</li><li>Owning the full MLOps stack: training pipelines, inference workloads, model validation, data assets</li><li>Working directly with clients to deploy and tune models in their environments, including air-gapped scenarios with or without GPU</li><li>Contributing to architecture decisions across the ML platform</li></ul><p><br/></p><p><strong>Skills:</strong></p><ul><li>5+ years hands-on ML model engineering: LLM fine-tuning, GNN design, data engineering</li><li>Production-grade MLOps: MLFlow, PyTorch Distributed, NeMo, Ray, Spark, Delta Lake, ONNX</li><li>Kubernetes in production (Helm a plus)</li><li>Experience deploying in security-sensitive environments (finance, defence, health) is a strong advantage</li><li>English required. Strong communicator who can work across engineering and client teams.</li></ul><p><br/></p><p>Full Time Permanent position in Zurich - 3 days a week in the office</p> </div>