Technology, Information and Internet

Machine Learning Reply

51-200

Germany

## Job Description

At 

## Machine Learning Reply Germany we strive to work on leading-edge data science projects and data platforms for which we are seeking **Cloud Engineers** with a strong technical background.  
  
Machine Learning Reply, with its sister company in Italy and over **12.000 employees** at **Reply** globally, is a fast-growing consultancy focused on solving problems with Data Science 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 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 modeling using machine learning algorithms.

We have extensive expertise in the broad Data Science spectrum in all key industries of the German HDAX companies. With a 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.

  
## Responsibilities:

* Through your knowledge, you are able to design innovative, technical approaches for **cloud solution** architectures
* You will have a chance to implement your designed **cloud architectures** (based on **AWS**, **Microsoft Azure** or **Google Cloud**), also always considering **DevOps** / **MLOps**
* You will not be on your own and will work closely with colleagues from **Data Science** or **Data Engineering** to jointly develop data-intensive applications such as data warehouses, data lakes, and/or data platforms
* You enjoy brainstorming, conceptualization, and final implementation. You, therefore, love 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:

* Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc_._)
* Broaden your skills through interdisciplinary work and training between the areas of data engineering, cloud architecture and data science
* Benefit from industry leading cooperations in the cloud, BI and AutoML field
* Very active social program - including trainings, conferences, team buildings, Reply Exchange, communities of practices and hackathons
* Work in an open, flat environment, within a broad Reply knowledge sharing network
* Award winning office space in downtown Munich with access to “Stammstrecke”
* You choose your state-of-the-art work equipment
* Public transport ticket within Munich
* Gym-membership subsidy for a gym of your choice
* Flexible work environment between client, Reply office and remote work

## Requirements

* We are happy to see that you have a university degree in (business) computer science, mathematics, statistics, or similar
You have experience with cloud services from AWS or **Azure**, alternatively, you have substantial knowledge of on-premise solutions 
* A solid understanding of Linux systems is a big plus, as well as an interest in **Terraform**, **CloudFormation,** and **Ansible**
* Good Knowledge of **databases**, networks, or cluster technologies
* Ideally, you are familiar with a programming language such as **Python**, shell scripting, or even Perl and have had some experience with Big Data technologies such as **Spark**, **Hadoop,** or **Kafka**
* Fluent German and English skills round out your profile

Employee

Professional / Experienced

<h2 id="job-description">Job Description</h2>
At 
<h2 id="machine-learning-reply-germany-we-strive-to-work-on-leading-edge-data-science-projects-and-data-platforms-for-which-we-are-seeking-cloud-engineers-with-a-strong-technical-background">Machine Learning Reply Germany we strive to work on leading-edge data science projects and data platforms for which we are seeking Cloud Engineers with a strong technical background.</h2>
Machine Learning Reply, with its sister company in Italy and over 12.000 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Data Science 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 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 modeling using machine learning algorithms.
We have extensive expertise in the broad Data Science spectrum in all key industries of the German HDAX companies. With a 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.
<h2 id="responsibilities">Responsibilities:</h2>
<ul>
<li>Through your knowledge, you are able to design innovative, technical approaches for cloud solution architectures</li>
<li>You will have a chance to implement your designed cloud architectures (based on AWS, Microsoft Azure or Google Cloud), also always considering DevOps / MLOps</li>
<li>You will not be on your own and will work closely with colleagues from Data Science or Data Engineering to jointly develop data-intensive applications such as data warehouses, data lakes, and/or data platforms</li>
<li>You enjoy brainstorming, conceptualization, and final implementation. You, therefore, love to accompany the complete LifeCycle by creating specifications, code, and presentations for your solutions.</li>
<li>As part of the Reply network, you join communities of practice, participate in hackathons and use all available learning resources</li>
</ul>
<h2 id="what-we-offer-you">What we offer you:</h2>
<ul>
<li>Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc_._)</li>
<li>Broaden your skills through interdisciplinary work and training between the areas of data engineering, cloud architecture and data science</li>
<li>Benefit from industry leading cooperations in the cloud, BI and AutoML field</li>
<li>Very active social program - including trainings, conferences, team buildings, Reply Exchange, communities of practices and hackathons</li>
<li>Work in an open, flat environment, within a broad Reply knowledge sharing network</li>
<li>Award winning office space in downtown Munich with access to “Stammstrecke”</li>
<li>You choose your state-of-the-art work equipment</li>
<li>Public transport ticket within Munich</li>
<li>Gym-membership subsidy for a gym of your choice</li>
<li>Flexible work environment between client, Reply office and remote work</li>
</ul>
<h2 id="requirements">Requirements</h2>
<ul>
<li>We are happy to see that you have a university degree in (business) computer science, mathematics, statistics, or similar
You have experience with cloud services from AWS or Azure, alternatively, you have substantial knowledge of on-premise solutions </li>
<li>A solid understanding of Linux systems is a big plus, as well as an interest in Terraform, CloudFormation, and Ansible</li>
<li>Good Knowledge of databases, networks, or cluster technologies</li>
<li>Ideally, you are familiar with a programming language such as Python, shell scripting, or even Perl and have had some experience with Big Data technologies such as Spark, Hadoop, or Kafka</li>
<li>Fluent German and English skills round out your profile</li>
</ul>

Cloud Engineer (m/f/d)

Cloud & Machine Learning Consultant (m/f/d)

Full Stack Software Engineer (m/f/d)

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