Software Engineer - MLOps

Join Dataiku as a Software Engineer - MLOps

At 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.

How You’ll Make An Impact

As a Software Engineer focused on developing Dataiku's MLOps features and capabilities, 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 to collaborate on ML projects.
• 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.
• 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.

What You Need To Be Successful

• Significant experience in software engineering
• Interest in machine learning and statistics
• Customer-oriented mindset
• Professional experience building a real product
• Humility and kindness
• Willingness to ask questions and treat colleagues with respect

What does the hiring process look like?

1. Initial call with a member of our Technical Recruiting team
2. Video call with an Engineering Team Lead
3. Technical Assessment to show your skills (Home Test or Live Coding)
4. Debrief of your Tech Assessment with Engineering Team member
5. Final Interview with a VP Engineering

Why Join Dataiku?

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku!

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.