BERLIN, MUNICH, HYBRID

Tasks

Our international team develops customized end-to-end solutions using machine learning for our clients. Our projects cover the entire lifecycle, from initial strategy consulting to implementation. If you're as passionate about programming as we are and want to bring your ideas to life, then join us!
As a Machine Learning Engineer, you will support our customers in the setup, maintenance, and operation of data-intensive cloud-based solutions with one of the major cloud providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
With your knowledge of programming languages, you deliver the right solutions for our customers in the field of machine learning.
This also involves using big data technologies (e.g., Apache Spark or Hadoop), databases , and batch or real-time data integration (e.g., Kafka or RabbitMQ).
You use CI/CD and DevOps paradigms to develop, deploy, and scale our solutions using Infrastructure as Code such as Terraform, Helm, or Ansible, and container-based technologies such as Docker or Kubernetes.

Benefits

HYBRID WORKING
CORPORATE EVENTS
EXPERT NETWORK
CERTIFICATIONS
Regular and systematic (external and internal) training opportunities in the areas of Generative AI, LLM development, cloud architecture and data science
Working in an open, flat environment , within a broad Reply network for knowledge exchange.
Award-winning office space in Munich city center with access to the main railway line
Public transport ticket with Deutschlandticket
Participation in your sporting activities via the EGYM Wellpass and other benefits of the Reply Group
Flexible working environment between clients, Reply office and remote work

Qualifications

We look forward to your university degree in computer science or a related field.
You have at least one year of professional experience in industry or consulting and have already developed production systems according to MLOps or DevOps principles.
You also had practical experience with ML and cloud computing platforms or with Databricks or SnowFlake.
Ideally, you have practical experience or at least an interest in the diverse end-to-end Machine Learning Engineering Stack (Data Engineering, Microservices, Frontend and Backend Development)
You communicate well and enjoy speaking German and English.

Develop yourself and the digital future – at Reply!

Reply specializes in the design and implementation of solutions based on new communication channels and digital media. With a network of highly specialized companies, Reply defines and develops business models enabled by AI, big data, cloud computing, digital media, and the Internet of Things. Reply offers consulting, system integration, and digital services to companies in the telecommunications and media, industrial and service, banking and insurance, and public administration sectors.

How to become a Replyer

Level 1

Your application

Have you found a position that suits you and your skills? Perfect! Then use our application form to send us your CV and certificates. If everything went smoothly, you will receive a confirmation email.

Level 2

Our answer

We are now reviewing your application and will get back to you as soon as possible. If we are a good fit, we will invite you for an interview.

Level 3

Your job interview

Is the chemistry right? What will you be doing at Reply: a working student position, an internship, writing your thesis, or will you be working as a Reply Ambassador? And what tasks will you be taking on? We'll clarify all of this together in an interview. And if several of our companies are a good fit for you, you'll have the opportunity to attend multiple interviews.

The final

Welcome to Reply

You've received a job offer? Congratulations! We look forward to welcoming you to our team soon.

(JUNIOR) MACHINE LEARNING ENGINEER (M/F/D)

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