DevOps/ML Engineer (m/f/d)

machinelearningreply; München; Hybrid; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

International projects

Training and conferences

Gym subsidy

Zusammenfassung

Machine Learning Reply is seeking DevOps and ML Engineers to support customer projects across industries. You will design data-driven solutions, implement in cloud (AWS/Azure/GCP) and on‑prem environments, and automate tasks using MLOps concepts.

Join a dynamic team working with data engineers, scientists, and architects to deliver production‑ready platforms. Flexible, hybrid work between client sites, Reply offices, and remote arrangements is offered.

Qualifikationen

• Bachelor’s or Master’s degree in computer science or related field.
• Practical experience with DevOps/MLOps principles and cloud platforms (Azure, AWS, GCP) and Databricks.
• Ability to communicate and present analytical results to management.
• Coverage of data lifecycle: Cloud Infra, Data Eng, Analytics, Visualization to ML/MLOps.
• Fluent in English and German.

Aufgaben

• Design technical approaches for data-intensive applications focusing on ML/AI.
• Implement and own solutions in cloud and on-prem environments for clients.
• Automate recurring tasks with DevOps and MLOps concepts for faster delivery.
• Ensure monitoring, failover and recovery infrastructures comply with regulations.
• Interact with customers to translate business requirements into production-ready solutions.
• Collaborate with architects, analysts, data scientists and data engineers on data platforms.

Kenntnisse

DevOps

ML Engineering

Cloud computing

Databricks

AWS

Azure

GCP

Kubernetes

Python

English & German

Ausbildung

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

Tools

Databricks

AWS

Azure

GCP

Kubernetes

Python

Java

Scala

Jobbeschreibung

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”

• 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 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)