Software Engineer
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Overview
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. 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.
Responsibilities
- Focus on Dataiku DSS MLOps capabilities, including automating retraining, tuning, monitoring and deployment of ML models.
- Develop features or improve existing ones to help customers use predictive algorithms, deploy them to production, and monitor them via intuitive interfaces and APIs for programmatic control.
- Develop features to put humans in the validation loop or collaborate with the Governance feature team to create cross-product value across users.
- Work with the backend stack (Java, Python, Scala) and frontend stack (JavaScript, Angular).
Qualifications
- You have significant experience in software engineering.
- You are interested in machine learning and are not afraid of statistics.
- You are customer-oriented — you want to understand how the product is used and solve actual customer problems.
- You know that boosted trees are not only about silviculture.
- You have one or more professional experience building a real product.
- You are humble and kind.
- You do not hesitate to ask questions when you don’t know something, and you treat colleagues with respect, kindness, and honesty.