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Machine Learning Reply
4,2
Machine Learning Engineer (m/f/d)
Wien
Job Description

At

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.

Tasks

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
Requirements

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

Größe
Mehr als 10.000 Mitarbeiter
Gegründet
1996
Art
Aktiengesellschaft
Branche
IT-Kundenbetreuung
Industriezweig
Informationstechnologie
Umsatz
1 bis 5 Milliarden $ (USD)

Bewertungen für Machine Learning Reply

4,2
  • 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)

Pros
  • "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)
Kontras
  • "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

5,0
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!

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