Machine Learning Engineer - Potsdam - adesso SE

adesso SE Potsdam

vor 1 Tag

Beschreibung

Standorte

Berlin, Köln, Düsseldorf, Essen, Paderborn, Bonn, Münster, Hamburg, Stuttgart, Dortmund, Frankfurt, Nürnberg, Potsdam, Leipzig, München, Ulm, Dresden, Bremen, Rostock, Siegen, Aachen.

DEINE ROLLE – DAS WARTET AUF DICH

Du siehst dich als Mischung aus Machine Learning Profi, Software Engineer und Hacker? Du konntest bereits Erfahrung im Bereich Deep Learning, Computer Linguistik sammeln. Dein hoher Qualitätsanspruch sowie deine Lernbereitschaft zeichnen dich aus. Dann bist du bei uns im Google Cloud Team genau richtig.

Als Machine Learning Engineer arbeitest du mit unseren Full-Stack-Entwicklerinnen und Entwicklern zusammen und entwirfst state-of-the-art, production-ready und skalierbare Machine Learning Anwendungen. Du arbeitest hauptsächlich mit TensorFlow und Python sowie den Google Machine Learning Produkten wie AutoML, Document AI usw.

Durch deine Erfahrung in der Programmierung und dem Machine Learning machst du die Anwendungen skalierbar, testbar, robust und erweiterbar. Da wir bevorzugter Machine Learning Partner in der Google Cloud sind, hast du die Möglichkeit direkt mit den Googlern zusammenzuarbeiten, die neusten Alpha Produkte zu testen und bei unseren Kunden in Einsatz zu bringen.

Im Detail übernimmst du folgende Aufgaben:

Entwicklung von zukunftsorientierten Machine Learning Anwendungen
Nutzung von Python zum Deployment von production-ready data pipelines und modernen Machine Learning Modellen in der Google Cloud
Effiziente Übersetzung der Kundenanforderungen in komplette Lösungen
Implementierung von Google Cloud Anwendungen (Google Cloud Plattform, Google Maps Plattform, Google Cloud Search), Machine Learning Frameworks (TensorFlow, PyTorch, scikit-learn)
Mitwirkung an Entwurf und Beratung für komponentenbasierte Software-Architekturen

DEINE SKILLS – DAS BRINGST DU MIT

Abgeschlossene Ausbildung oder Studium
Erfahrung im Bereich Machine Learning, Deep Learning, Computer Linguistik
Projekterfahrung mit Python, Java, Go oder node.js sowie sonstigen gängigen Technologien
Zusätzlich sind Erfahrungen in den Bereichen WebService-Standards sowie der Google APIs (Google Cloud Platform, Google Maps Platform) von Vorteil
Sicherer Umgang mit der Linux Konsole
Hoher Qualitätsanspruch sowie permanente Lernbereitschaft

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