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JUNIOR DEVOPS / MACHINE LEARNING ENGINEER Job Opening In Munich – Now Hiring Machine Learning Reply


Job description

  • Du bist für die Konzipierung technischer Ansätze der Cloud-Einführungen, auch im Hinblick auf datenintensive Anwendungen mit Schwerpunkt auf maschinellem Lernen und künstlicher Intelligenz verantwortlich
  • Die Anfertigung, Implementierung und Visualisierung der Cloud-Architektur, basierend auf AWS, Azure oder GCP und/oder On-Premises-Infrastrukturen unserer Kunden gehört ebenfalls dazu
  • Du automatisierst wiederkehrende Aufgaben durch modernste DevOps- und MLOps-Konzepte, so dass unsere Kunden ihre Time-to-Delivery deutlich reduzieren können
  • Dabei hast du immer ein Auge auf aktuelle Trends im Cloud Bereich und verfolgst Best Practices 
  • Du kümmerst dich um die notwendigen Überwachungs-, Failover- und Recovery-Infrastrukturen, die unseren Kunden einen sicheren Betrieb ihrer Machine-Learning-Lösungen in Übereinstimmung mit den neuesten regulatorischen Anforderungen ermöglichen
  • Enge Interaktion mit Kunden und Interessengruppen, um konkrete und komplexe Geschäftsanforderungen in produktionsreife Lösungen zu übersetzen
  • Zusammenarbeit mit verschiedenen Disziplinen wie Unternehmensarchitekten, Analysten, Datenwissenschaftlern oder Dateningenieuren zur Entwicklung datenintensiver Anwendungen wie Data Warehouses, Data Lakes und/oder Datenplattformen
  • Regelmäßige und systematische (externe und interne) Weiterbildungsmöglichkeiten.

    Profitiere von unserem Team, Lernressourcen, Hackathons und mehr, um deine technische Entwicklung voranzutreiben und eine Präsenz in der Machine-Learning-Community zu haben (interdisziplinäres Arbeiten und Schulungen in den Bereichen Data Engineering, Cloud-Architektur und Data Science)
  • Zugang zu branchenübergreifenden Projekten (große und mittelständische Unternehmen aus den Bereichen Banken, Versicherungen, Automotive, Einzelhandel usw.)
  • Branchenführenden Kooperationen in den Bereichen Cloud, BI und AutoML
  • Arbeit in einer offenen, flachen Umgebung, innerhalb eines breiten Reply-Netzwerks zum Wissensaustausch
  • Preisgekrönte Büroräume in der Münchner Innenstadt mit Zugang zur Stammstrecke
  • Fahrkarte für öffentliche Verkehrsmittel mit Deutschlandticket
  • Zuschuss zu einer Fitnessstudio-Mitgliedschaft in einem Fitnessstudio der Wahl
  • Flexible Arbeitsumgebung zwischen Kunden, Reply-Büro und Remote-Arbeit
  • Wir freuen uns auf deinen Studienabschluss mit einem quantitativen oder wirtschaftlichen Hintergrund, zum Beispiel in Informatik, Wirtschaftsinformatik, Wirtschaftsmathematik oder Betriebswirtschaftslehre
  • Idealerweise bringst du erste praktische Erfahrungen mit DevOps/MLOps-Prinzipien und Computerplattformen wie Microsoft Azure, AWS und GCP sowie Databricks mit 
  • Erste Erfahrungen in Kubernetes und Programmiersprachen wie Python, Java und Scala und SQL- und NoSQL-Datenbanktechnologien und Data Lakes
  • Kenntnisse in Cloud Architekturen (AWS oder Microsoft Azure), in den gängigen Betriebssystemen wie Unix/Linux und in Applikationsplattformen 
  • Mündliche und schriftliche Kommunikationsfähigkeit in Deutsch und Englisch und die Bereitschaft national zu reisen
  • Fähigkeit, analytische Ergebnisse überzeugend zu kommunizieren und dem Management zu präsentieren
  • Machine Learning Reply bietet maßgeschneiderte End-to-End-Lösungen im Data-Science-Bereich an, die den gesamten Projektlebenszyklus abdecken – von der initialen Strategieberatung über die Datenarchitektur und Infrastrukturthemen bis hin zur Datenverarbeitung und Qualitätssicherung unter Verwendung von Machine-Learning-Algorithmen.

    Machine Learning Reply verfügt über umfassende Expertise im Bereich der Datenwissenschaft in allen Schlüsselindustrien der deutschen HDAX-Unternehmen.

    Machine Learning Reply befähigt seine Kunden, neue datenbasierte Geschäftsmodelle erfolgreich einzuführen sowie bereits bestehende Prozesse und Produkte zu optimieren – mit einem Schwerpunkt auf Open-Source- und Cloud-Technologien.

    Mit dem Machine Learning Incubator bietet das Unternehmen ein Programm zur Ausbildung der nächsten Generation von Entscheidungsträgern, Data Scientists und Entwicklern an.

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your JUNIOR DEVOPS Potential: Insight & Career Growth Guide


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    The Work Culture

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    6. Respect for human rights

    7. Obeying Germany laws and regulations

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    Interview Tips for JUNIOR DEVOPS / MACHINE LEARNING ENGINEER Job Success

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    Research: Learn about the Machine Learning Reply's mission, values, products, and the specific job requirements and get further information about

    Other Openings

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