Descripción de la oferta
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku [blog](#), [LinkedIn](#), [X](#), and [YouTube](#).
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. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look[ here](#). Dataiku's Github](#), you can also take a look at the [Gallery](#), a public instance showcasing some example projects (note editing is very limited and will be regularly reset). Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo [here](#) or try the free version [here](#).
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
Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS
Data Consumption : build the experience that makes data accessible and actionable for everyone.
Data Visualization : elevate our data visualization capabilities with high-performance charting tools and dashboards.
Develop new chart types and optimize visualization performance
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
Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines.
Expand capabilities to support new databases and cloud platforms
We’re stack agnostic, so all you need is a significant experience in software engineering, building a real product
We’re hiring at all levels (junior, mid, senior)
A passion for combining backend performance with exceptional frontend user experience.
Video call with an Engineering Team Lead (1h30)
Technical Assessment to show your skills (Home Test or Live Coding)
Final Interviews with our VPs of Engineering (2h) #LI-Remote
Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. Fullstack Software Engineer - Core Spain
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