
Homeoffice Software Engineer - AI & Machine Learning - France or Remote EMEA
Dataiku · France, Remote, Francia · Remote
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Dataiku · France, Remote, Francia · Remote
Shift technology · France - Remote, Francia · Remote
Dataiku · France, Remote, Francia · Remote
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Patrocinado por BlinkistAt Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.
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.
How you’ll make an impact
(Note: this is a Software Engineer position, focused on developing Dataiku's features and capabilities. We have separate positions open for Data Scientist, Research Scientist or ML Engineer)
Your role will be to add new features or improve existing ones to help our customers use predictive algorithms and put them into production with an intuitive and user-friendly interface, as well as APIs that let coders control and automate all those operations. You may also develop some other AI features (think NLP, time series, computer vision, labeling management, etc.) or collaborate with the AI Lab, our research department, to develop cutting edge POCs and experiments on a broad set of emerging machine learning topics.
The platform itself is in Java, Python and Scala for the backend, with JavaScript and Angular on the frontend.
Some expected outcomes for this role:
What you'll need to be successful:
What does the hiring process look like?