Jobbörse

DevOps/ML Engineer (m/f/d)

Veröffentlicht am 23. Okt. 2026

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Machine Learning Reply

Munich

EnglischFließend Deutsch (C1+)

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Job Fit

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Gehalt (Schätzung)

Grobe Schätzung: etwa 55.000 €/Jahr

Über diese Stelle

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

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 .

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 )

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Eckdaten der Stelle

Arbeitgeber: Machine Learning Reply
Position: DevOps/ML Engineer (m/f/d)
Stadt: Munich
Arbeitsmodell: nicht angegeben
Sprache: Englisch
Erfahrungsstufe: nicht angegeben
Veröffentlicht: 23. Okt. 2026
Quelle: Arbeitnow

Bewertung des Unternehmens

Glassdoor 3,5
38 Bewertungen
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DevOps/ML Engineer (m/f/d)

Job Fit

Über diese Stelle

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What we offer you:

Minimum Job Requirements / Qualifications :

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Eckdaten der Stelle

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