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


Job description

  • Als DevOps Engineer agierst du als Bindeglied zwischen unseren Software Developern und Betriebsteams, um die Geschäftsanforderungen unserer Kunden in produktionsreife Lösungen umzusetzen

  • Du entwirfst und implementierst Test-, Staging- und Produktionsumgebungen in Microsoft Azure, Kubernetes oder On-Premise

  • Mit modernen CI/CD-Pipelines automatisierst du wiederkehrende Aufgaben, um die Lieferzeiten zu verkürzen

  • Du kümmerst dich auch um die notwendigen Überwachungs-, Failover- und Recovery-Infrastrukturen, damit unsere Kunden die gelieferten Lösungen problemlos betreiben können

  • Um immer auf dem neuesten Stand zu bleiben und unseren Kunden die besten Lösungen anbieten zu können, behältst du ein Auge auf neue und innovative Technologien
  • 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 Hochschulabschluss in Informatik oder einem verwandten Fach

  • Du verfügst über Erfahrung mit Cloud-Plattformen (insbesondere Microsoft Azure) und Containerisierungstechnologien wie Kubernetes

  • Ein grundlegendes Verständnis von CI/CD-Konzepten bringst du mit und hast auch praktische Erfahrung mit der Einrichtung von Pipelines und der Automatisierung von Arbeitsabläufen

  • Mit Infrastructure as Code (IaC) Lösungen wie Terraform oder Configuration Management Tools wie Ansible bist du vertraut

  • Kenntnisse über Monitoring-, Failover- und Recovery-Infrastrukturlösungen wären von Vorteil

  • Auf Deutsch und Englisch kannst du gut und überzeugend kommunizieren
  • 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 DEVOPS ENGINEER Potential: Insight & Career Growth Guide


    Real-time DEVOPS ENGINEER Jobs Trends (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for DEVOPS ENGINEER in Munich, Germany, highlighting market share and opportunities for professionals in DEVOPS ENGINEER roles.

    18106 Jobs in Germany
    18106
    1099 Jobs in Munich
    1099
    Download Devops Engineer Jobs Trends in Munich and Germany

    Are You Looking for DEVOPS ENGINEER || MACHINE LEARNING Job?

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Machine Learning Reply adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Germany laws and regulations

    What Is the Average Salary Range for DEVOPS ENGINEER || MACHINE LEARNING Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Munich. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for DEVOPS ENGINEER || MACHINE LEARNING?

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    Interview Tips for DEVOPS ENGINEER || MACHINE LEARNING Job Success

    Machine Learning Reply interview tips for DEVOPS ENGINEER || MACHINE LEARNING

    Here are some tips to help you prepare for and ace your DEVOPS ENGINEER || MACHINE LEARNING job interview:

    Before the Interview:

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

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

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    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

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    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

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    By following these tips, you can increase your chances of making a positive impression and landing the job!

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