Machine Learning Engineer

Stellenbeschreibung:

Overview

In this role you contribute to design and development of ML software for GT-SUITE, enabling customers to train and deploy metamodels within a multi-physics engineering environment. You will build interfaces and extend APIs, collaborating with cross-functional teams to apply ML to regression, classification, anomaly detection, and digital twin initiatives. You will mentor peers, propose state-of-the-art solutions, and stay technically current to drive customer success and product impact.

Leistungen / Benefits
  • hybrid work policy
  • Athens office location
  • attractive salary
  • company benefits
  • professional network opportunities
Verantwortungsbereiche
  • Design, develop and maintain ML functionality for a Java-based ML product used with GT-SUITE
  • Prototype and implement advanced data science and machine learning algorithms for engineering environments
  • Collaborate with internal/external users on regression, classification, anomaly detection, and digital twin projects
  • Develop customized user interfaces and workflows in Java Swing
  • Enhance and extend the Python API
  • Export and load trained metamodels in C code for hardware-limited devices like ECUs and microcontrollers
  • Coordinate with Solver/GUI and Applications teams to identify ML opportunities
  • Mentor peers, review code, and contribute to design discussions
  • Stay updated with state-of-the-art ML solutions
Zentrale Anforderungen
  • 3+ years of programming experience in Java
  • 2+ years of professional ML project experience
  • 1+ year hands-on experience with at least one ML framework
  • Deep understanding of statistical and predictive modeling concepts
  • Professional experience writing optimized C code
  • Proficient in spoken and written English
  • Ability to communicate complex ideas clearly
  • communication skills
  • mentoring and peer-review
  • cross-functional collaboration
  • Java
  • Java Swing
  • Python API
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DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    14 Sep 2026
  • Standort:

    Stuttgart

    Einsatzort:

    Stuttgart
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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