Aktuelle Jobs im Zusammenhang mit Senior Machine Learning Engineer - Berlin, Berlin - diconium data


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  • Berlin, Berlin, Deutschland Enjins Vollzeit

    About EnjinsEnjins is a fast-growing tech scale-up that specializes in Machine Learning solutions. Our mission is to become the go-to ML engineering company in the world of tech scale-ups, providing value to both talent and customers.Job DescriptionWe are seeking a highly skilled Senior Machine Learning Engineer to join our growing team. As a key member of...

Senior Machine Learning Engineer

vor 2 Monaten


Berlin, Berlin, Deutschland diconium data Vollzeit

Wir suchen einen erfahrenen Senior Machine Learning Engineer, der unsere Datenanalysen und KI-Anwendungen weiterentwickelt.

Unser Angebot

  • Entwickeln und Warten Sie hochleistungsfähige und skalierbare ML-Services sowie Integration von Modellen für verschiedene Dienste in Unternehmensinfrastrukturen.
  • Designen, bauen und warten Sie die ML CI/CD-Pipeline und Workflows zur Automatisierung der Datenerfassung, Datenanalyse, Experimentierung, Modelltraining, Modellbereitstellung und Monitoring in Production.
  • Trainieren, bewerten und skalieren Sie Machine-Learning-Modelle.
  • Interagieren Sie mit Stakeholdern, um ihre Bedürfnisse zu verstehen, Empfehlungen auszusprechen und darauf basierende Lösungen zu entwerfen.
  • Implementieren Sie ML-Pipelines und Infrastruktur.
  • Beitragen Sie zu neuen Trends in den Bereichen KI und ML.

Was Sie mitbringen

  • 5+ Jahre einschlägige Berufserfahrung
  • Nachweisliche Erfahrung in der Planung, Implementierung und Management von Machine-Learning-Modellen und der dazugehörigen Infrastruktur
  • Sehr gute Kenntnisse in Python und Erfahrung mit ML-Frameworks wie TensorFlow, PyTorch und scikit-learn
  • Erfahrung mit Azure Cloud, Docker, GitHub, Terraform
  • Erfahrung mit MLOps, CI/CD und den dazugehörigen Tools
  • Erfahrung mit ETL/ELT und Data Transformation-Frameworks (z.B. Spark) sowie Big-Data-Solutions (insbesondere Databricks)
  • Fundiertes Verständnis von Machine-Learning-Algorithmen
  • Erfahrung im Stakeholder-Management und direktem Kundenkontakt
  • Effektive Kommunikation und fließendes Englisch

Weniger ist mehr

  • Erfahrung in Datenarchitektur und Datenbankarchitektur
  • Erfahrung im Projektmanagement mit agilen Methoden wie SAFe, Scrum oder Kanban
  • Fließend in Deutsch