Overview
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.
* Data Visualization: Elevate our data visualization capabilities with high-performance charting tools and dashboards, develop new chart types, and optimize visualization performance; enhance dashboarding capabilities for fast, flexible experiences.
* AI & Machine Learning: Collaborate on next-generation AI features, from statistics and time series forecasting to LLM inference; build cross-provider LLM APIs or integrations with the latest ML models; collaborate with research teams on innovative experiments.
* MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles, 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.
We\'re stack agnostic, so all you need is significant experience in software engineering and building a real product. We are hiring at all levels (junior, mid, senior). You should have a passion for combining backend performance with exceptional frontend user experience and be excited to work in a fast-paced, high-growth environment that values diversity, product excellence, and scale.
Dataiku is The Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Dataiku DSS stands for Dataiku Data Science Studio. For more information about working in Engineering at Dataiku, you can explore our key capabilities, GitHub, and Gallery.
Why Engineering at Dataiku?
Dataiku\'s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. You can learn more about Dataiku\'s work in engineering by exploring the links provided (Dataiku\'s Key Capabilities; Dataiku\'s Github; Gallery; demo and free version information).
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