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MACHINE LEARNING CONSULTANT Job Opening In Leipzig – Now Hiring Machine Learning Reply

MACHINE LEARNING CONSULTANT

    Germany Jobs Expertini Expertini › Germany › Jobs › Leipzig › Computer Occupations › Machine Learning Consultant

Job description

  • Beratung mit Kunden, um deren Geschäftsziele und Anforderungen an maschinelles Lernen zu verstehen
  • Du bist maßgeblich daran beteiligt, wenn wir spannende Lösungen in den Bereichen Datenanalyse- und Machine Learning entwickeln und vorantreiben
  • Du entwirfst und entwickelst cloudbasierte Lösungen für maschinelles Lernen unter Verwendung von AWS-, GCP- und/oder Azure-Diensten und -Tools
  • Entwickle in Kooperation mit unseren Kunden innovative Use Cases und setze sie im Anschluss mit Hilfe von funktionsübergreifenden Teams zur Implementierung von Modellen und Algorithmen für maschinelles Lernen um
  • Über die neuesten Trends und Fortschritte bei Cloud-basierten Technologien hälst du dich auf dem Laufenden, insbesondere bei AWS und Azure
  • Du hast immer ein Auge auf die Optimierung und strategischen Entscheidungen und übernimmst die Verantwortung für die Umsetzung der vorgeschlagenen Lösungen um Datenressourcen nutzbar zu machen und gewinnbringend einzusetzen
  • 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
  • Du möchtest nach deinem erfolgreich abgeschlossenen Studium der (Wirtschafts-) Informatik, Mathematik oder Physik voll durchstarten
  • Erste Projekterfahrung optimalerweise bei der Entwicklung komplexer Cloud-basierter Lösungen
  • Erfahrungen im Machine Learning Umfeld, mit künstlicher Intelligenz und Cloud sind von Vorteil
  • Du bringst grundlegendes Know-how in Cloud (AWS, GCP oder Azure) und Big Data mit
  • Tiefergehende Kenntnisse in folgenden High Level Programmiersprachen: Scala, Java, Python und SQL
  • Die Fähigkeit, analytische Ergebnisse überzeugend zu kommunizieren und dem Management zu präsentieren
  • Sehr gute Deutsch- und Englischkenntnisse
  • Wir decken den gesamten Lebenszyklus von Daten, über Cloud-Infrastruktur, Data Engineering, Data Analytics, Visualisierung bis hin zu ML Engineering und MLOps ab.

    Interesse/Erfahrung in einigen dieser Bereiche sind von Vorteil
    • 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 MACHINE LEARNING Potential: Insight & Career Growth Guide


    Real-time MACHINE LEARNING 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 MACHINE LEARNING in Leipzig, Germany, highlighting market share and opportunities for professionals in MACHINE LEARNING roles.

    843 Jobs in Germany
    843
    6 Jobs in Leipzig
    6
    Download Machine Learning Jobs Trends in Leipzig and Germany

    Are You Looking for MACHINE LEARNING CONSULTANT Job?

    Great news! is currently hiring and seeking a MACHINE LEARNING CONSULTANT to join their team. Feel free to download the job details.

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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 MACHINE LEARNING CONSULTANT Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Leipzig. 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 MACHINE LEARNING CONSULTANT?

    Key qualifications for MACHINE LEARNING CONSULTANT typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for MACHINE LEARNING CONSULTANT Job Success

    Machine Learning Reply interview tips for MACHINE LEARNING CONSULTANT

    Here are some tips to help you prepare for and ace your MACHINE LEARNING CONSULTANT 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.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

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

    Additional Tips:

    Be Yourself: Let your personality shine through while maintaining professionalism.

    Be Honest: Don't exaggerate your skills or experience.

    Be Positive: Focus on your strengths and accomplishments.

    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your MACHINE LEARNING CONSULTANT interview at Machine Learning Reply, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Machine Learning Reply's products or services and be prepared to discuss how you can contribute to their success.

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

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