ND - Jr/Ssr UX/UI Designer (AI/ML Product Environment) - Job2634

Multiple Countries
Full Time
Mid Level

ND - Jr/Ssr UX/UI Designer (AI/ML Product Environment) - Job2634

Summary

We are seeking a UX Designer who thrives in data-rich, AI-powered environments. You’ll collaborate closely with AI engineers, data scientists, and DevOps teams to design seamless, intuitive experiences for machine learning and automation tools—bridging complex backend systems with clean, human-centered interfaces.

Responsibilities

  • Partner with AI and engineering teams to translate technical workflows (data pipelines, ML models, CI/CD systems) into intuitive user experiences.
  • Design dashboards, model management tools, and visualizations for cloud and AI operations.
  • Conduct user research with internal developers, data analysts, and enterprise users to identify usability pain points.
  • Create wireframes, prototypes, and design specs for web-based applications using tools like Figma, Miro, and Storybook.
  • Collaborate with frontend teams working in React + TypeScript to ensure design consistency and component reuse.
  • Design interaction flows that help users visualize data from Databricks, Snowflake, or Postgres systems.
  • Work iteratively within Agile sprints and contribute to CI/CD-aligned design processes.
  • Advocate for accessibility, scalability, and UX best practices across AI/ML interfaces.

Requirements

  • 1-3 years of professional UX/UI design experience, preferably within AI/ML or data-heavy product environments.
  • Proven experience with User Experience Design, User Interface Design, wireframing, prototyping, and user research.
  • Experience working with Figma and Miro for design and collaboration.
  • Experience creating and maintaining component libraries or design systems in Storybook.
  • Practical experience collaborating with frontend teams using React and TypeScript.
  • Familiarity with accessibility standards and applying them in web interfaces.
  • Comfortable working in Agile methodologies and contributing to sprint-driven workflows.
  • Clear communication skills and experience collaborating with AI engineers, data scientists, and DevOps or infrastructure teams.

Nice to Have

  • Experience designing interfaces for data pipelines, model management, or cloud-based AI operations.
  • Experience with data visualization techniques for large or complex datasets.
  • Familiarity with machine learning concepts and how they impact UX.
  • Understanding of cloud computing concepts relevant to AI/ML products.
  • Experience aligning design work with CI/CD processes and collaborating with DevOps teams.
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