Job Description About You Are you looking to apply your strong data and/or platform engineering skills to real-world problems, and help keep companies around the globe transparent and accountable for their business conduct? Do you want to be part of a growing team of ML experts in shaping a state-of-the-art Natural Language Processing pipeline including LLM models? Are you someone who prefers working for an agile, growing firm where you can make a real contribution and be involved in a variety of tasks, but without the uncertainty of a start-up? If your answers are YES – then this is the perfect role for you! Your Responsibilities As our ML Platform Engineer, you will work daily with the Machine Learning team based in Zürich, Switzerland, to build, maintain, and expand the full machine learning and data pipeline within RepRisk. You will be: Support the development of feature pipelines, automated data creation, ETL pipelines, and manage the underlying infrastructure and applications Helping to design, test, deploy, monitor, as well as maintain production-scale ML models and model endpoints, primarily in natural language processing. Design, implement and monitor the CI/CD pipelines and cloud infrastructure for cutting-edge ML applications, with efficiency, performance and cost optimization in mind. Manage the lifecycle, access and deployment of LLM models for production applications and ad-hoc testing by developers