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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