machinelearningreply~24d ago

DevOps/ML Engineer (m/f/d)

Germany·Munichmid

Machine Learning EngineerData

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Quick Summary

Overview

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.

Key Responsibilities

Design innovative, technical approaches for data intensive and applications with a focus on machine learning and artificial intelligence.

Technical Tools

airflowawsazuregcpjavakafkakubernetespythonscalasparksqldata-analysismachine-learning

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.

Responsibilities

~1 min read

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Requirements

~1 min read

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)

What We Offer

~1 min read

✓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

Location & Eligibility

Where is the job

Munich, Germany

On-site at the office

Who can apply

DE

Listing Details

First seen: May 6, 2026
Last seen: May 30, 2026

Posting Health

Days active: 23
Repost count: 0
Trust Level: 14%
Scored at: May 30, 2026

Signal breakdown

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Domain

machinelearningreply.recruitee.com

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DevOps/ML Engineer (m/f/d)