7 hours ago
Mülheim-Kärlich, GermanySenior
Responsibilities
- Build end-to-end machine-learning training pipelines covering data collection, validation, transformation, training, and evaluation.
- Deploy, optimize, and package models for inference and support model deployment on cloud platforms and edge systems or sorting machines.
- Contribute to data- and model-centered research and innovation projects, particularly involving computer vision.
- Build, integrate, and operate secure data platforms using SQL and NoSQL databases, data warehouses, object storage, and feature stores.
- Design and implement REST APIs for ML services and data-platform capabilities.
- Develop and maintain internal tools and web-based user interfaces supporting ML workflows.
- Develop robust, maintainable software with unit, integration, and performance tests, technical documentation, code reviews, and knowledge transfer.
- Containerize components, implement CI/CD pipelines, and operate and troubleshoot ML tools in production.
- Collaborate closely with internal users and international teams.
Requirements
- Several years of demonstrable professional experience developing and deploying productive machine-learning systems with measurable business value.
- Very strong Python skills.
- Deep expertise in computer vision and machine-learning and deep-learning tooling.
- Experience with MLOps, especially data modeling, packaging, containerization, and CI/CD.
- Data-science experience for optimizing image-processing models.
- Knowledge of TypeScript, REST API development, and modern frontend frameworks such as Vue.js or React, or willingness to learn them.
- Knowledge of cloud and on-premises platforms and their interfaces.
- Knowledge of model-optimization frameworks including TensorRT, ONNX, CUDA, and cuDNN.
- Experience with edge deployment on hardware platforms such as x64 and ARM/Jetson.
Benefits
- Hybrid working model with a flexible and international work environment.
- Modern office and testing facilities in a sustainable, future-oriented industry.
- Attractive compensation package including a bonus, plus a laptop and mobile phone.
- Long-term development and career opportunities in an international technology company.
- Open, inclusive, Norwegian-influenced company culture with flat hierarchies and short decision-making paths.
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.