---
title: "DevOps/ML Engineer (m/f/d) at Machine Learning Reply – All Job Board"
---

# DevOps/ML Engineer (m/f/d) at Machine Learning Reply

Written by

[admin](https://alljobboard.com/author/admin/)

in

- [Munich, Bayern, Germany](https://maps.google.com/maps?q=Munich%2C%20Bayern%2C%20Germany&zoom=14&size=512x512&maptype=roadmap&sensor=false)
- Posted 3 weeks ago

![Machine Learning Reply](https://alljobboard.com/wp-content/plugins/wp-job-manager/assets/images/company.png)

 **Machine Learning Reply**

At Machine Learning Reply, we **work with our customers on cutting-edge projects** for which we are **looking for DevOps and ML Engineers** to support our customer projects around machine learning and data processing across various industries. To expand our team, we are looking for a talented and highly skilled consultant with a technical background to join our team. As a consultant, you will be responsible for providing expert advice and technical support to our clients.

**If you’re a DevOps or ML Engineer** **or just starting out** in the field of machine learning and/or DevOps engineering – if you never lose focus, love coding, data and AI, and are passionate about bringing your ideas to life – **then we want to hear from you!**

**Responsibilities:**

- **Design innovative, technical approaches** for data intensive and applications with a focus on machine learning and artificial intelligence.
- Implement and take ownership for your solutions on in either **cloud based** (**AWS**, **Azure** or **GCP**) and/or **on-premises infrastructures** of our customers.
- Automate recurring tasks by state-of-the-art **DevOps** and **MLOps concepts**, enabling your customers to significantly reduce their time-to-delivery.
- Take care of the necessary **monitoring, failover,** and **recovery infrastructures** that allow our customers save operation of their machine learning solutions in agreement with latest regulatory requirements
- Closely **interact with customers and stakeholders** to translate concrete and complex business requirements into production-ready **solutions**
- **Collaborate with various disciplines** such as enterprise architects, analysts, data scientists or data engineers to develop data-intensive applications such as data warehouses, data lakes and/or data platforms

 **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 in 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 training, 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 equipment**
- Public transport ticket with **Deutschlandticket**
- **Gym-membership** **subsidy** for a gym of your choice
- **Flexible** work environment between client, Reply office, and remote work

**Minimum Job Requirements** / **Qualifications**:

- **Bachelor’s / master’s degree** in computer science or any other related fileds (e.g. engineering, statistics, physics).
- **First practical experience** with **DevOps/MLOps** principals and computing platforms like **Microsoft Azure, AWS** and **GCP** as well as **Databricks**.
- Ability to convincingly **communicate and present analytical** results to **management.**
- We cover the **full lifecycle of Data**, from Cloud Infrastructure, Data Engineering, Data Analytics, and Visualization to ML Engineering to and MLOps. **Interest and/or experience in some of those fields is an advantage**.
- Fluent in **English** and **German**.

 **Desired**:

- Working experience in **cloud technologies (AWS, Azure** or **GCP), Kubernetes** and programming languages like **Python, Java** and **Scala**.
- Practical experience with SQL and NoSQL database technologies and data lakes
- Experience with big data technologies (**Apache Spark**), data streaming (**Apache** **Kafka**) and workflow orchestration (**Apache Airflow, Dagster**)

Find more English Speaking Jobs in Germany on Arbeitnow

**Source:** this listing was published by [Arbeitnow](https://www.arbeitnow.com/). [View the original posting and apply](https://www.arbeitnow.com/jobs/companies/machine-learning-reply/devops-ml-engineer-munich-333786) — applications are handled there, not on this site.

To apply for this job please visit [www.arbeitnow.com](https://www.arbeitnow.com/jobs/companies/machine-learning-reply/devops-ml-engineer-munich-333786).

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    "title": "DevOps/ML Engineer (m/f/d) at Machine Learning Reply",
    "description": "<p>At Machine Learning Reply, we <strong>work with our customers on cutting-edge projects</strong> for which we are <strong>looking for DevOps and ML Engineers</strong> to support our customer projects around machine learning and data processing across various industries. To expand our team, we are looking for a talented and highly skilled consultant with a technical background to join our team. As a consultant, you will be responsible for providing expert advice and technical support to our clients.</p>\n<p><strong>If you&#8217;re a DevOps or ML Engineer</strong> <strong>or just starting out</strong> in the field of machine learning and/or DevOps engineering &#8211; if you never lose focus, love coding, data and AI, and are passionate about bringing your ideas to life &#8211; <strong>then we want to hear from you!</strong></p>\n<p></p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>\n<p><strong>Design innovative, technical approaches</strong> for data intensive and applications with a focus on machine learning and artificial intelligence.</p>\n</li>\n<li>\n<p>Implement and take ownership for your solutions on in either <strong>cloud based </strong>(<strong>AWS</strong>,<strong> Azure</strong> or <strong>GCP</strong>) and/or <strong>on-premises infrastructures</strong> of our customers.</p>\n</li>\n<li>\n<p>Automate recurring tasks by state-of-the-art <strong>DevOps</strong> and <strong>MLOps concepts</strong>, enabling your customers to significantly reduce their time-to-delivery.</p>\n</li>\n<li>\n<p>Take care of the necessary <strong>monitoring, failover, </strong>and<strong> recovery infrastructures</strong> that allow our customers save operation of their machine learning solutions in agreement with latest regulatory requirements</p>\n</li>\n<li>\n<p>Closely <strong>interact with customers and stakeholders</strong> to translate concrete and complex business requirements into production-ready <strong>solutions</strong></p>\n</li>\n<li>\n<p><strong>Collaborate with various disciplines</strong> such as enterprise architects, analysts, data scientists or data engineers to develop data-intensive applications such as data warehouses, data lakes and/or data platforms</p>\n</li>\n</ul>\n<p><strong><br />What we offer you:</strong></p>\n<ul>\n<li>\n<p>Access to work on projects <strong>across industries</strong> (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc<em>.</em>)</p>\n</li>\n<li>\n<p>Broaden your skills through interdisciplinary work and training in the areas of <strong>data engineering, cloud architecture, and data science</strong></p>\n</li>\n<li>\n<p>Benefit from industry-leading cooperations in the cloud, BI, and AutoML field</p>\n</li>\n<li>\n<p>Very active <strong>social program</strong> &#8211; 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