Machine Learning Platform Engineer

Quick Facts

• Role: Machine Learning Platform Engineer (hybrid in Stuttgart with remote flexibility)
• Experience: 5+ years software development; 3+ years machine learning

Description

Build and evolve a production-ready no-code development experience that helps product managers, analysts, and domain experts create, train, and deploy ML models without writing code. You will break down ML workflows into clear, modular concepts that can be represented visually, implement the underlying building blocks (nodes, components, templates), and design UI guidance for non-technical users. You’ll integrate the solution into the broader no-code platform and iterate based on real-world user feedback.

Responsibilities

• Decompose ML workflows into modular concepts suitable for visual modeling
• Simplify ML terminology and steps without reducing correctness, flexibility, or functionality
• Implement visual ML building blocks such as nodes, components, and templates for networks and pipelines
• Design UX guidance, interaction patterns, and visualizations that help users configure and create ML models confidently
• Integrate the ML solution into the broader no-code platform and ensure reliable production behavior
• Collaborate with product, design, and engineering teams to iterate on the framework from feedback and use cases

Requirements

• 5+ years of software development experience owning system/framework/platform components end-to-end
• 3+ years of machine learning experience with strong understanding of ML techniques and model training
• Demonstrated framework or software architecture experience (abstractions, APIs, modular building blocks)
• Experience collaborating on or designing UX/UI for complex technical tools for novice users
• Familiarity with production ML systems: deployment, serving, and monitoring; understanding production readiness beyond notebooks
• Ability to work independently on ambiguous problems and make architectural/product trade-offs
• English proficiency (written and spoken)

Benefits

• High business impact and exposure to industrial innovation (e.g., Industry 4.0)
• Dynamic, growth-oriented environment with autonomy and direct product impact
• Hybrid working model with remote flexibility
• At least 30 days of paid vacation per year
• Long-term perspective and attractive working conditions