Logo von Machine Learning Reply
Machine Learning Reply
Machine Learning Engineer (m/f/d)
Job Description


Machine Learning Reply Austria we strive to work on leading-edge data science projects with our clients for which we are seeking Cloud Engineer consultants with a strong technical background.

Machine Learning Reply, with its sister companies in Italy and Germany and over 8500 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Data Science, Cloud technologies and the right organizational frameworks as their backbone. We are a tight knit, laid back, but seriously motivated unit that aims to be involved at conferences and in community of practice with our tech partners.

We offer tailor-made end-to-end cloud-based solutions in the Data Science area that cover the entire project life cycle - from initial strategy consulting to data architecture and infrastructure issues to data processing and deployment of production-ready algorithms.

We have a vast expertise in every step of the Data Science implementation spectrum in all key industries of the German HDAX-companies. With focus on open source and cloud technologies we enable our customers to successfully introduce and implement new data-driven solutions and to optimize already existing processes and products while simultaneously adapting to cloud technologies.


Use your cloud know-how and work closely with our customers to find out what the perfect (cloud) technology is for them!

  • Through your knowledge you are able to design innovative, technical approaches for cloud solution architectures
  • Your designed cloud architectures (based on AWS, Microsoft Azure or Google Cloud) will be implemented by you also always considering DevOps / MLOps
  • You will not be alone and will work closely with colleagues from Data Science or Data Engineering to jointly develop data-intensive applicationssuch as data warehouses, data lakes and/or data platforms
  • You enjoy brainstorming, conceptualization and final implementation. You therefore like to accompany the complete LifeCycle by creating specifications, code and presentations for your solutions.
  • As part of the Reply network, you join communities of practice, participate in hackathons and use all available learning resources
What we offer you:
  • We offer you for this position according to the collective agreement for employees in data processing and information technology a gross monthly salary of at least EUR 3215 (Consultant) or EUR 4286 (Senior Consultant) depending on your previous experience.
  • Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)
  • Very active group social program - including conference funding, team building, group events, Reply Exchange
  • Recognition for Innovation to foster your personal development
  • Work in an open, flat environment, within a broad Reply knowledge sharing network (more than 90 autonomous Reply groups across 8 countries)
  • Office space in downtown Vienna with access to Stammstrecke
  • Training and certification encouraged
  • Home-office contracts
  • State of the art work equipment
  • Award winning office spaces for an excellent work experience
  • Public transport ticket within Vienna
  • Gym-membership subsidy for a gym of your choice
  • Flexible work environment between client, Reply office and remote work

A university degree in (business) informatics, mathematics, statistics (or comparable) and at least 3 years of professional experience in industry or consulting

  • Experience in the development of data-intensive applications such as data warehouses, data lakes and / or data platforms
  • You have knowledge in code development using Java/Scala or Python
  • You are familiar with relational databases as well as ideally NoSQL databases (e.g. Oracle, Aurora, Mongodb, Cassandra)
  • Deep understanding in the development of Machine Learning applications as well as solutions based on Big Data technologies such as Hadoop or Spark or their cloud-based equivalents
  • Very good English and good German skills as well as willingness to travel nationally

Unternehmen im Überblick

Mehr als 10.000 Mitarbeiter
1 bis 5 Milliarden $ (USD)

Bewertungen für Machine Learning Reply

  • 90 %
    Würden einem Freund empfehlen
  • 96 %
    Befürworten CEO
  • CEO Tatiana Rizzante
    Tatiana Rizzante
    1 013 Bewertungen
  • Karriere­chancen
  • Vergütung & Zusatzleistungen
  • Kultur & Werte
  • Führungs­ebene
  • Work-Life-Balance

Bewertungen von Machine Learning Reply nach machine learning engineer (m/w/d)

  • "Flexibility, remote, additional courses, salary" (in 22 Bewertungen)
  • "The colleague are great." (in 22 Bewertungen)
  • "Management are good" (in 11 Bewertungen)
  • "I learned allot working here and the culture was good" (in 13 Bewertungen)
  • "low salary" (in 22 Bewertungen)
  • "Bad management" (in 11 Bewertungen)
  • "Their culture was too laid back." (in 13 Bewertungen)
  • "Long hours" (in 13 Bewertungen)

Zusatzleistungen von Machine Learning Reply

3 Bewertungen

Bewertungen von Zusatzleistungen für Mitarbeitende

  • 29. Apr. 2020
    Aktueller Senior Consultant in Innsbruck, Tirol

    Open Reply gehört zum weltweiten Reply-Netzwerk, von Mitarbeitern der Tochterfirmen wird ein Austausch, Weiterbildungen, Events, ... fast schon sogar erwartet. Aber im Positiven!

Mehr Jobs wie dieser
Suchen Sie nach einem ähnlichen Job? Sehen Sie sich die Angebote an!