Dataiku

Dataiku

Dataiku develops a collaborative data science software platform that empowers teams to explore, prototype, build, and deliver data products, facilitating the transformation of business data into impactful insights through Everyday AI.

Internet Software & Services
251-1K
Founded 2013
$847M raised

Description

  • Design, develop, and deploy AI-powered applications that solve complex business problems.
  • Integrate Dataiku’s backend AI capabilities with intuitive front-end interfaces.
  • Collaborate with solutions engineers, data scientists, and industry specialists to define requirements and deliver customer solutions.
  • Build applications that help business users explore large datasets and derive insights quickly and intuitively.
  • Own the end-to-end application lifecycle from proof of concept to production.
  • Maintain and evolve the tech stack and frameworks to improve scalability and reliability.
  • Support new features and architecture improvements.
  • Work with core teams to create high-quality, reusable components and share best practices.
  • Help make data scientists and business users more autonomous in building solutions end to end.
  • Mentor new team members, participate in interviews, and contribute to onboarding.

Requirements

  • Experience in full-stack software engineering, including taking applications from proof of concept to production.
  • Comfort working across the stack from front-end user interface to back-end infrastructure.
  • Proficiency with modern reactive front-end frameworks such as Vue.js, React, or Angular, with Vue.js preferred.
  • Strong backend development experience, especially with Python and frameworks such as FastAPI or Flask.
  • Familiarity with RESTful API design and willingness to adapt to Dataiku’s tech stack and best practices.
  • Experience building data-intensive, high-performance applications that work with large datasets.
  • Experience with analytics products or data platforms is a strong plus.
  • Strong customer-oriented mindset and ability to iterate based on customer feedback.
  • Curiosity and adaptability to take on new technical challenges.
  • Genuine interest in AI and data-driven applications, including cutting-edge AI technologies such as LLMs.

Benefits

  • Opportunity to work on enterprise AI applications used by leading companies.
  • Flexible deployment context across on-premise, cloud, and SaaS environments.
  • Work with a dynamic range of modern data and AI technologies, including LLMs and open source tools.
  • Collaborative, inclusive, and innovative team culture.
  • Opportunity for professional growth through mentoring, onboarding, and interview participation.
  • Equal opportunity employer commitment with accommodations available during the hiring process.

Interested in this position?

Apply directly on the company website

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