DevOps/ML Engineer (m/f/d)

Free resume; München; Hybrid; EUR 70,000 - 120,000; Full time

Benefits offered by this job

Gym-membership subsidy

Flexible work environment

Office in Munich

Job summary

Machine Learning Reply is seeking DevOps and ML Engineers to design and implement data-intensive ML solutions for diverse customers. The role spans cloud, on‑prem, and MLOps tasks, with a strong emphasis on automation and reliable infra.

You will work across industries, collaborating with data scientists, engineers, and architects to deliver production-ready data platforms and AI-powered applications. Fluency in English and German is expected.

Qualifications

• Bachelor’s or Master’s degree in computer science or related field.
• Experience with DevOps/MLOps on cloud platforms like Azure, AWS and GCP as well as Databricks.
• Ability to communicate and present analytical results to management.
• We cover the full lifecycle of Data: Cloud Infra, Data Eng, Data Analytics, Visualization, and ML & MLOps.
• Fluent in English and German.

Responsibilities

• Design innovative, technical approaches for data-intensive ML apps.
• Implement and own solutions on cloud-based or on-prem infrastructures.
• Automate recurring tasks with DevOps and MLOps concepts.
• Monitor, failover, and recover infrastructures for ML, aligned with regulations.
• Collaborate with architects, analysts, data scientists, and data engineers.
• Interact with customers and stakeholders to translate business requirements into production-ready solutions.
• Develop data warehouses, data lakes and data platforms.

Skills

DevOps

MLOps

Python

Java

Scala

Cloud AWS

Azure

GCP

Databricks

Kubernetes

SQL

NoSQL

Apache Spark

Kafka

Airflow

Dagster

Data engineering

Data analytics

Data visualization

English

German

Education

Bachelor’s / Master’s degree in CS or related field

Tools

Azure

AWS

GCP

Databricks

Kubernetes

Apache Spark

Dagster

Airflow

Job description

Job Description

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 necessarymonitoring, failover, and recovery infrastructuresthat allow our customers save operation of their machine learning solutions in agreement with latest regulatory requirements

Closelyinteract with customers and stakeholdersto translate concrete and complex business requirements into production-readysolutions

Collaborate with various disciplinessuch as enterprise architects, analysts,data scientists ordata engineersto 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\"


• 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.


• 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)