7 hours ago
Mülheim-Kärlich, GermanySenior
Responsibilities
- Build end-to-end machine learning training pipelines covering ingestion, validation, transformation, training, and evaluation.
- Deploy, optimize, package, and serve models for cloud and edge inference environments.
- Build, integrate, and maintain secure data platforms including warehouses, object storage, and feature stores.
- Design and implement APIs, internal tools, and web-based UIs supporting ML workflows and data platform functionality.
- Develop robust software with version control, code reviews, documentation, unit tests, integration tests, and performance tests.
- Containerize components, implement CI/CD pipelines, and maintain and troubleshoot ML tooling in production.
- Collaborate with internal users and own requirements engineering, stakeholder management, project management, and technical decisions.
- Participate in data and model-centric research and innovation for vision-based systems.
Requirements
- Several years of proven professional experience delivering production machine learning systems with measurable impact.
- Expertise in Python, computer vision, and machine learning/deep learning tooling.
- Proficiency in MLOps, data modeling, packaging, containerization, and CI/CD.
- Proficiency in data science for vision-based model optimization.
- Knowledge of or willingness to learn TypeScript, REST API development, and modern frontend frameworks such as Vue.js or React.
- Knowledge of cloud and on-premise platforms and their interfaces.
- Knowledge of TensorRT, ONNX, CUDA, and cuDNN, plus experience with edge deployment on x64, ARM, or Jetson hardware.
- Strong ownership, collaboration, technical decision-making, and communication capabilities.
Benefits
- Hybrid working model.
- Flexible and international working environment with close collaboration across international teams.
- Modern office, testing facilities, and technology environment.
- Competitive salary package including a bonus.
- Laptop and mobile phone.
- Long-term development opportunities within an international technology company.
- Norwegian company culture with low hierarchies, short decision paths, and an informal open “you” mentality.
- Applications are reviewed throughout the posting period, with first-round interviews expected from early August 2026 onward.
Tech Stack
Categories
About Tomra
TOMRA builds sensor-based collection and sorting systems for recycling, food processing, and mining, and is widely known for reverse vending machines for deposit containers. It sells equipment, software, and services to retailers, material recovery facilities, food processors, and mines worldwide, generating revenue from machine sales and service contracts. Founded in 1972 and headquartered in Asker, Norway, it is publicly listed on the Oslo Stock Exchange.