Fullstack Software Engineer

Beschreibung

Job Zusammenfassung In dieser Stelle entwickelst du Kernfeatures für Dataiku DSS, wobei du Tools zur Datenintegration und -visualisierung optimierst und AI-Funktionen sowie Dashboard-Erfahrungen für Nutzer gestaltest. Job Zusammenfassung In dieser Stelle entwickelst du Kernfeatures für Dataiku DSS, wobei du Tools zur Datenintegration und -visualisierung optimierst und AI-Funktionen sowie Dashboard-Erfahrungen für Nutzer gestaltest. Deine Rolle im Team As a Fullstack Engineer, you'll contribute to building Dataiku DSS core features by joining one of the following themes: Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs. Add new capabilities for data integration, transformation, and visualization using LLMs. Optimize workflows for large-scale datasets and improve database support. Strengthen developer tools like Jupyter notebooks and SQL workbenches. AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference. Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models. Collaborate with research teams on innovative machine learning experiments. Data Consumption: build the experience that makes data accessible and actionable for everyone. Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more. Create innovative interfaces that answer business questions and surface relevant insights using LLMs. Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards. Develop new chart types and optimize visualization performance. Enhance dash boarding capabilities to deliver fast and flexible experiences. MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration. Build tools to automate retraining, monitoring, and deployment of ML models. Enhance collaboration features for ML stakeholders. Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. Optimize processing engines for scalability and latency. Expand capabilities to support new databases and cloud platforms. AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes. Develop customizable platforms for managing AI compliance and governance. Simplify policy enforcement and integration across disparate systems. Unsere Erwartungen an dich Qualifikationen We're hiring at all levels (junior, mid, senior). You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale. Erfahrung We're stack agnostic, so all you need is a significant experience in software engineering, building a real product. A passion for combining backend performance with exceptional frontend user experience. Unser Angebot This position is either onsite/hybrid from our Berlin office or full remote from any part of Germany. Themen mit denen du dich im Job beschäftigst Machine Learning Cloud Computing AI Metadaten Level: Erfahren Job Feld: Web, Software, Full Stack Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Full Remote, Hybrid Unternehmenstyp: Etablierte Firma Branche: Internet, IT, Telekom Ort: Berlin | Deutschland

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