Machine Learning Engineer (m/f/d)

Farkas Kiss Endre legjobb állása Machine Learning Reply

Bewerbung fur Software Engineer (m/w/d)

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Lieber Machine Learning Reply!

Ich möchte mich bei Ihrem Unternehmen als Machine Learning Engineer (m/f/d) bewerben. 
Ich bin ein Fullstack-Entwickler, bei dem ich meine 10-jährige Erfahrung mit verschiedenen Technologien einsetzen kann.

Ich habe meinen Lebenslauf an diese E-Mail angehängt.

Wir freuen uns darauf, von Ihnen zu hören!


Endre Farkas Kiss "Sodika"
Java and PHP Fullstack Developer, Nudist, Vlogger

https://www.linkedin.com/in/farkas-kiss-63bb9210a
https://sodika.org

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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