4 ai engineer jobs found in Zürich

You don't just want to move data, you want to create real societal impact? A leading Swiss digital health venture is looking for a (Senior) Data Engineer to help shape the development of a new, nationwide healthcare platform. Here, you'll work at the intersection of data engineering, AI, cloud computing, and product development – ​​and use your expertise to shape the future of digital healthcare. If you love data engineering, want to build something big in the health tech sector, and are looking for responsibility – then this is the place for you. Tasks of Data Scientist/Data Analyst/Data Engineer Zurich region town of Zurich REF Nr 8K9I77 JOB DESCRIPTION Data Pipelines & Data Integration You consolidate heterogeneous data sources (app tracking, backend services, external partners) You build scalable, automated pipelines (ingestion, transformation, orchestration) You ensure a robust, secure and reliable data supply. Data Platform Engineering...

Your tasks Do you want to be at the forefront of revolutionizing the healthcare market in Switzerland? Will you drive the innovation of our digital healthcare platform hand in hand with a strong team? Then we are looking for you! As an experienced and motivated Data Engineer, you will work on further expanding our data assets and, in your role, will be responsible for tasks including: Consolidation, pipelines: You consolidate heterogeneous data sources and app tracking data, build robust, automated data pipelines (ingestion, transformation, orchestration) for a reliable data supply, and operate them on a scalable analytics/data platform. AI, Data Architecture: You create a reliable data foundation for use cases such as AI applications, personalization and recommendations, so that our in-app AI assistant becomes smarter and we can make data available as a self-service for the entire team. Data quality, monitoring, reporting: You establish standards and processes for...

  Your role We are seeking a Cyber DevOps Engineer to: develop, test, and maintain an Azure based application (AKA Cyber Integration layer) that provides data sources and context information to our SaaS CyberSecurity platform. provide support and develop new data integrations on SaaS Exabeam Analytics platform engage in the entire software development lifecycle of the product. collaborate with cross-functional teams and stakeholders to deliver a product that meets customer needs in a timely manner. participate in code reviews to ensure code quality and identify areas for improvement. write clean, reusable code that can be easily maintained and scaled. troubleshoot and resolve issues that may arise during development or in production. Your team You will be part of the User & Entity Behavior Analytics (UEBA) Engineering team with members based in Switzerland and abroad. Our team is responsible for the engineering...

This is Cradle Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. Machine learning is revolutionising this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across pharma, biotech, agritech, foodtech, and academia. We're an experienced team of roughly 60 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across two main locations, Zurich and Amsterdam, and are focused on building the best possible team culture. We offer our employees a very competitive salary, a generous equity stake (for full...