Machine Learning Engineer

Vor 4 Tagen

Köln, Nordrhein-Westfalen, Deutschland TÜV Informationstechnik GmbH Vollzeit
Jobbeschreibung

Wir suchen einen erfahrenen Machine Learning Engineer für unser Team in Essen.

Was wir bieten
  • Einen sicheren Arbeitsplatz in einem engagierten Team mit flachen Hierarchien und einem tarifgeschützten Gehalt inkl. Urlaubs- und Weihnachtsgeld
  • 30 Urlaubstage + 24. und 31.12. frei, flexible Arbeitszeiten sowie die Möglichkeit zum Homeoffice
  • Attraktive und hochwertige Arbeitsausstattung
  • E-Ladesäulen für Kraftfahrzeuge
  • Konzernweites Onboarding-Event, individuelle und fachspezifische Schulungen, Möglichkeit zur Teilnahme an namhaften Konferenzen und Zugang zu virtuellen Lernplattformen
  • Unterstützung durch unseren Familienservice - Kinderbetreuung, Pflegethemen, Nachhilfeangebote und vieles mehr
  • Umfangreiche Zusatzleistungen wie z.B. kostenfrei Kaffee und Mineralwasser, vergünstigtes Essen im Betriebsrestaurant, Zugang zum Corporate Benefits Portal, Betriebssport und Gesundheitsangebote, betriebliche Altersvorsorge und vergünstigte TÜV-Inspektionen für alle auf dich zugelassenen Fahrzeuge und vieles mehr
Was du bei uns bewegst
  • Du unterstützt unser Team bei der Analyse verschiedener maschineller Lernverfahren für sicherheitskritische Anwendungen, indem du deren Risiken und Schwachstellen identifizierst.
  • Du implementierst und führst etablierte Angriffs- und Robustheitsanalysen auf Machine-Learning-Modelle durch und interpretierst die erzielten Ergebnisse.
  • Du entwickelst und realisierst Anwendungen auf Grundlage von Computer Vision und generativer KI für verschiedene Anwendungsfälle.
  • Du begleitest KI-Anwendungen von der Konzeption über die Implementierung bis hin zur Betriebsphase.
  • Du wirkst aktiv bei der Weiterentwicklung unseres Testframeworks mit.
  • Du erstellst Dokumentationen und Analyseberichte für nationale und internationale Projekte.
  • Du unterstützt beim Ausbau unserer KI-Prüfdienstleistungen.
Was dich ausmacht
  • Abgeschlossenes Hochschulstudium eines MINT-Studiengangs (Master oder PhD)
  • Erfahrung im Bereich Machine Learning und im Umgang mit den gängigen Frameworks (TensorFlow, PyTorch, scikit-learn)
  • Fundierte Programmierkenntnisse in Python sowie umfangreiche Praxiserfahrung und tiefgehendes Fachwissen in den Bereichen Computer Vision, Deep Learning, generative KI oder NLP
  • Idealerweise Kenntnisse in den Themengebieten Adversarial Machine Learning, AI Robustness und Explainable AI sowie Kenntnisse in IT-Sicherheit oder Safety
  • Freude daran, komplexe Sachverhalte anschaulich aufzubereiten und überzeugend zu präsentieren sowie forschungsnahe Entwicklungen im Bereich KI hinsichtlich ihrer Relevanz für Unternehmensinteressen zu analysieren und zu bewerten
  • Kommunikationsvermögen in deutscher und englischer Sprache in Wort und Schrift und eine eigenständige Arbeitsweise

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