Apache Hadoop, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
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, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users. Through DSS, we aim to empower people through data and democratize data science.
We are looking for a talented software developer interested in machine learning and data engineering to join us at Dataiku. As a 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. The platform itself is in Java, Python, and Scala for the backend part, with JavaScript and Angular on the frontend.You are the ideal recruit if:
Hiring process:
Dataiku’s culture is right for you if
Dataiku is an artificial intelligence (AI) and machine learning company which was founded in 2013. In December 2019, Dataiku announced that CapitalG - the late-stage growth venture capital fund financed by Alphabet Inc. - joined Dataiku as an investor and that it had achieved unicorn status, valued at $1.4 billion. Dataiku currently employs more than 500 people worldwide between offices in New York, Paris, London, Munich, Sydney, Singapore, and D
France, Paris
2-4 year
Paris, France
4-6 year