AI Engineer

Vor 3 Tagen


Zürich, Zürich, Schweiz ParetoLabs Vollzeit
Aufgaben

Als AI Engineer bei ParetoLabs wirst du eine wichtige Rolle bei der Entwicklung von KI-gestützten Lösungen spielen, die wir in verschiedenen Branchen anbieten.

  • Kundenbedürfnisse analysieren: Verstehe und konzipiere die Lösungsarchitektur basierend auf den Anforderungen der Kunden.
  • Lösungen umsetzen: Entwickle die Lösungsarchitektur mit Python, passenden Bibliotheken und Azure AI-Komponenten.
  • AI Modelle entwickeln: Wähle, trainiere und validiere geeignete Machine-Learning-Modelle.
  • Integration und Qualitätsmessung: Integriere trainierte Modelle in die Lösungsarchitektur und messe ihre Qualität.
  • Beratungsexpertise: Diene als wichtige Ansprechperson für Kollegen der Beratung mit deinem AI/ML-Fachwissen.
  • Community-Beteiligung: Nimm aktiv an der Data + ML-Community teil und trage zur Weiterentwicklung unserer Angebote bei.
Qualifikation
  • Ausbildung: Abgeschlossene Ausbildung oder Studium in Data Science, ML, AI, Informatik, Wirtschaftsinformatik, Physik, Statistik oder einem verwandten Bereich.
  • Erwiesene Erfahrung: Praktische Erfahrung in AI/ML-Projekten, Vertrautheit mit LLMs und RAG-Systemen
  • Technische Fähigkeiten: Praktische Erfahrung als Entwickler mit Python in den Bereichen Data Science, Machine Learning oder AI.
  • Kommunikationsfähigkeiten: Bevorzugt Deutschkenntnisse auf C1-Niveau.

Wir bieten ein attraktives Gehaltspaket, das deine Erfahrung und Leistungen widerspiegelt. Du kannst zwischen Remote-, Vor-Ort- oder Hybrid-Arbeitsmodellen wählen, mit einer Präferenz für Kandidat:innen mit Wohnsitz in der Schweiz. Wir bieten auch Pick Your Gear, überdurchschnittliche Rentenleistungen und eine private Unfallversicherung an. Wenn du leidenschaftlich an AI Engineering interessiert bist und darauf brennst, die Landschaft der AI-Anwendungen mitzugestalten, laden wir dich ein, dich bei ParetoLabs zu bewerben.

Bitte sende uns deinen Lebenslauf, deine Zeugnisse, Referenzen sowie deine relevanten Erfahrungen (GitHub-Link bevorzugt).



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