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ML Engineer

Rilla

Deutschland

Remote

EUR 60.000 - 80.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

Zusammenfassung

A leading AI solutions company in Germany is seeking an ML Engineer to design and deploy AI-powered systems that facilitate natural speech interaction. This position focuses on real-world problem-solving and requires a strong software engineering background with experience in ML systems. The ideal candidate will work closely with customers to extract business-critical insights from voice data.

Qualifikationen

  • Proven experience in software engineering with a focus on ML systems.
  • Ability to design AI-powered solutions and customer-centric systems.
  • Strong problem-solving skills in real-world applications.

Aufgaben

  • Architect and ship AI-powered systems for natural speech interaction.
  • Build agents for processing real-world audio.
  • Extract insights from previously unsearchable voice data.

Kenntnisse

Experience building ML systems
Software engineering
Customer interaction
Knowledge of AI techniques
Jobbeschreibung
Overview

We need an ML Engineer with experience building and deploying ML systems in production, comfortable owning the model lifecycle from inception to production. You should be comfortable working directly with customers to understand their needs and solve real-world problems. This role is for someone who is a software engineer first, with a pivot to LLM-focused work, rather than a data scientist.

What you'll do
  • Architect and ship AI-powered systems that enable natural speech interaction with Rilla.
  • Help build agents that operate natively on real-world audio.
  • Extract business-critical insights from voice data that has never been searchable.
  • Shape the foundations of our AI stack and drive the invention of new techniques, tooling, and models.
  • Work across the full AI lifecycle—from data acquisition to real-time inference and user-facing chat interfaces.
  • Constantly talk to and visit customers in the field to understand their needs.
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