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Open nowPosted 167 days ago

Qualitätsingenieur Risk Assessment & Freigabeprozesse (m/w/d)

PMX105 open roles

Where
München
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Your applicationOpen nowQualitätsingenieur Risk Assessment & Freigabeprozesse (m/w/d)PMX · München

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on PMX's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. PMX postings stay open a median of 17 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 167 days ago

PMX median: 17 days open

The posting

Deine Aufgaben

  • Aktive Mitwirkung bei Gestaltung und Umsetzung innovativer „generative-AI“ Lösungen (Artificial Intelligence) zur Unterstützung operativer Q-Prozesse im Produktentwicklungsprozess (z.B. Issue-Management, Residual-Risk Assessment)
  • Operative Durchführung von Risiko-Bewertungen (z.B. ERZ: Entwicklung-Risiko-Zahl) in allen Truck- und Bus-Projekten
  • Koordination und Vorbereitung von Gesamt-Fzg.-Freigaben für die zentrale Qualität in Legacy-Projekten Truck und in Bus-Projekten
  • Erstellung regelmäßiger und projektspezifischer Statusberichte zur Darstellung und Bewertung des Bearbeitungs- und Zielerreichungsgrades
  • Teilnahme an baureihenspezifischen Gremien und Vorstellung von Statusreports
  • Mitarbeit zur Definition und Operationalisierung von Prozesskennzahlen (KPI’s)
  • Mitwirkung an der Weiterentwicklung der eingesetzten Qualitätsmethoden, insbesondere im Umfeld Issue-Management und Risk-Assessment.
  • Dokumentation und Know-How Transfer an interne Stakeholder.

Dein Profil

  • Erfolgreich abgeschlossenes Studium (Uni/FH) in Ingenieurwesen, Informatik, Elektrotechnik, oder vergleichbare Qualifikation
  • Mehrjährige Berufserfahrung im Bereich Qualität sowie Entwicklung von HW- und SW-Systemen in der Automobilindustrie
  • Kompetenzen und operative Erfahrungen in der Gestaltung und Implementierung von Applikationen auf Basis von AI-Technologien: Machine Learning, Data Engineering Basics, Cloud & Deployment (AWS)
  • Erfahrungen in der Programmierung in Python von AI-Lösungen in MS-Copilot sind von Vorteil
  • Sehr gute Kenntnisse der Produktentwicklungsprozesse (PEP) sowie der Abläufe und der Methoden in Research & Development (R&D)
  • Sehr gute analytische und konzeptionelle Fähigkeiten
  • Ausgeprägtes Prozessdenken und hervorragender Kommunikationsstil Abstimmung mit internen Fachbereichen.
  • Zielorientierte, strukturierte, eigenverantwortliche und teamorientierte Arbeitsweise
  • Sehr gute Kenntnisse in MS Office
  • Bereitschaft zu Dienstreisen
  • Verhandlungssichere Deutsch -und Englischkenntnisse in Wort und Schrift
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    The review screen in CV Rocket: how each CV was read, round by round.

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