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# Machine Learning Engineer*

- **Company:** Tomra
- **Location:** Mülheim-Kärlich, Germany
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Computer Vision, Program Optimization, Code Review, Nvidia CUDA, Continuous Integration, Data Security, Python (Programming Language), Machine Learning, NoSQL, Azure Machine Learning, Software Engineering, SQL Databases, TypeScript, Web Application Frameworks, ReactJS, Vue.js, Containerization, ONNX (Open Neural Network Exchange) Format, Data Management, Machine Learning Operations, TensorRT, Restful APIs, Software Version Control
- **Published:** June 19, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=4add4d57c3e5ac03

## About the Role

Do you have experience in Vue.js?, * Several years of proven professional experience delivering production ML systems with measurable impact

 * Expertise in Python
 * Expertise in computer vision and ML/DL tooling
 * Proficiency in MLOps: data modelling, packaging, containerization, CI/CD
 * Proficiency in data science for vision-based model optimization
 * Knowledge with (or willingness to learn) TypeScript, REST API development, and modern frontend frameworks (e.g., Vue.js, React)
 * Knowledge in cloud and on-prem platform and interfaces
 * Knowledge in model optimization frameworks (TensorRT, ONNX, CUDA, cuDNN) and edge deployment on hardware (x64, ARM/Jetson)

## Description

You design, implement, test, deploy, and maintain data- and model-centric systems that deliver production-grade ML functionality. Typical tasks span:

Machine Learning Engineering

 * Build end-to-end ML training pipelines (ingestion, validation, transformation, training, evaluation)
 * Deploy, optimize and package models for inference
 * Support the platform team to serve models in cloud
 * Support the ai runtime team to serve models on edge/sorters
 * Participate in data and model centric research and innovation

Data Management

 * Build, integrate and maintain secure data platforms (e.g., SQL/NoSQL warehouses, object storage, feature stores)
 * Ensure data security, privacy, and compliance

Service & ML Tooling

 * Design and implement REST APIs to expose ML services and data platform functionality
 * Develop and maintain internal tools and web-based UIs that support ML workflows

Software Engineering

 * Apply software engineering practices for version control, code reviews, and accurate technical documentation
 * Develop robust and maintainable code with unit, integration, and performance tests and knowledge transfer
 * Containerize components and implement CI/CD pipelines
 * Maintain and troubleshoot ML tooling in production
 * Close collaboration and alignment with our internal users

We expect high ownership of assigned projects including stakeholder management, requirements engineering, project management and technical decisions.


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