Machine Learning Engineer (m/f/d)

Shopware; Schöppingen; Hybrid; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Shopware seeks a Machine Learning Engineer to enhance their Data Platform & Enablement Team. The role involves designing ML services, MLOps, and full-stack development. Candidates should have a strong background in Python and TypeScript, and enjoy collaborating in a dynamic environment. Flexible working options are available, and there are ample opportunities for personal growth.

Leistungen

Flexible working hours

Mobile work and full-remote contracts

Well-structured onboarding

Company pension plans

Health programs

Regular team events

Qualifikationen

• 3+ years experience in building and operating production systems.
• Experience with AWS and Terraform.
• Good command of English for remote collaboration.

Aufgaben

• Design and develop ML-powered services as microservices.
• Implement CI/CD for ML and manage AWS infrastructure.
• Prototype customer-facing features with React/TypeScript.

Kenntnisse

Software engineering

Machine learning

MLOps

Cloud computing

Full-stack development

Communication

Tools

Python

TypeScript

React

Docker

AWS

Terraform

PyTorch

Kafka

Jobbeschreibung

Job Description

Shopware is a leading ecommerce system that enables companies worldwide to scale quickly and efficiently in digital commerce. As a trendsetting open source solution, Shopware is already used by some of the largest European brands, retailers and manufacturers in the B2C and B2B industries.

To turn data into an even stronger growth engine, our Data & AI Lab builds the cloud-native backbone that powers analytics, machine learning, and AI-driven product features across the company.

As a Machine Learning Engineer (m/f/d) in the Data Platform & Enablement Team, you bridge software engineering, MLOps, and full-stack development: you productionize models, build the services around them, and jump into front-end work when it speeds up delivery.

This position can be filled on-site, hybrid, but also full-remote within Germany or specific European countries where we are registered. Your work location will be agreed upon in advance and forms the basis of your employment contract.

These are your tasks:

• Model-to-Production
• You design, develop, and ship ML-powered services as containerized microservices (FastAPI + Docker / AWS ECS / Lambda).
• You build robust training, evaluation, and inference pipelines using Python and the PyData stack (e.g., NumPy, Pandas, Scikit-learn)..
• MLOps & Platform Engineering
• You implement CI/CD for ML (GitHub Actions, Terraform-managed AWS infrastructure).
• You instrument models with observability & experiment-tracking (e.g. W&B, Prometheus, TensorBoard).
• Full-stack Enablement
• You prototype customer-facing features or internal tools with React/TypeScript, Streamlit, and/or Gradio.
• You expose models via well-documented RESTful APIs and integrate them into Shopware’s product landscape.
• Collaboration & Innovation
• You partner with data scientists to move notebooks to production-grade code.
• You explore emerging techniques such as LLMs, RAG systems, and agentic frameworks and assess their fit for Shopware.
  

This is what you’ll bring to the table:

• Software engineering background: You have 3+ years of experience in building and operating production systems in Python, TypeScript, and/or React; familiarity with type safety, testing, and clean-code principles.
• Cloud & IaC: You gained experience on AWS and with Terraform (or similar) to manage infrastructure.
• Machine-learning know-how: You have a solid grasp of supervised/unsupervised learning and deep-learning concepts (CNN, RNN, transformers).
• MLOps mindset: You can work hands-on with CI/CD, Docker, and monitoring/alerting; you are ready to learn advanced MLOps practices if they have not yet been mastered and as needed.
• Full-stack skills: You bring the ability (and willingness) to deliver front-end or integration code in React/TypeScript or similar.
• Nice to have: PySpark/Spark or streaming (Kafka/Kinesis), LLM tooling (LangChain, Hugging Face), vector databases.
• Communication: Very good command of English and enjoyment of remote, cross-functional collaboration.
  
  

This is what we offer you:

• Company Culture: Open culture with flat hierarchies, where individual initiative is encouraged.
• Employment Contracts: Permanent positions that offer long-term security.
• Flexibility: Flexible working hours and options for mobile work and full-remote contracts.
• Equipment: Freedom to choose your preferred work hardware.
• Onboarding: Well-structured onboarding with support from a personal "buddy."
• Work Environment: An inspiring environment with dedicated colleagues and a dynamic community.
• Development Opportunities: Diverse opportunities for personal growth and development.
• Additional Benefits: Attractive perks such as company pension plans, health programs, and regular team events.
• and much more!
  
  

You can get a detailed insight on our career page.

Your personal contact for this position is Carmen Bouraine and is happy to answer any questions you may have!