Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration.
One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users.
With Dataiku, we aim to empower people through data and democratize data science.We are looking for a talented Senior Software Developer interested in machine learning and data engineering to join us at Dataiku.
As a Senior Software Engineer, you will build a cutting-edge product that has a real impact on our customers in one of the most talked-about and impactful areas of the discipline today : MLOps.
You will focus on Dataiku DSS’ MLOps capabilities, from automating the retraining, tuning, monitoring and deployment of ML models to the interfaces that allow various stakeholders, with their own skills and role, to collaborate on ML projects.
What we do Dataiku DSS is an on-premises or SaaS platform that connects together many data science technologies. We work with Pandas, Spark, scikit-learn, Keras, TensorFlow, Kubernetes, and many more.
Basically, our technological stack is made up of the latest and greatest technologies from the big data and machine learning landscape.
Side note : we also wrote an O’Reilly book on MLOps! What you will be doing Your role will be to add new features or improve existing ones to help our customers use predictive algorithms, put them into production, and monitor them with an intuitive and user-friendly interface, as well as APIs that let coders control and automate all those operations.
You may also develop features to put humans in the validation loop, or collaborate with the Governance feature team to develop cross-product features and keep bringing values to all users.
You are the ideal recruit if :
Note : This is a Software Engineering job. We have separate Data Scientist positions open).
Hiring process :
Dataiku’s culture is right for you if
Apply for this Job If you want to learn more about our hiring process, you can read this article about our engineering hiring philosophy.
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe.
2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally.
Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences.
Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding.
Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness.
Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success.
Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate.
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.