11 hours ago
Mülheim-Kärlich, GermanySenior
Responsibilities
- Build end-to-end ML training pipelines covering ingestion, validation, transformation, training, and evaluation.
- Deploy, optimize, package, and serve models for cloud and edge or sorter environments.
- Build, integrate, and maintain secure data platforms including warehouses, object storage, and feature stores.
- Design REST APIs and develop internal tools and web-based UIs supporting ML workflows.
- Containerize components, implement CI/CD pipelines, and maintain and troubleshoot ML tooling in production.
- Apply software engineering practices including version control, code reviews, documentation, unit testing, integration testing, and performance testing.
- Manage assigned projects, stakeholders, requirements, and technical decisions while collaborating with internal users and international teams.
Requirements
- Several years of proven professional experience delivering production ML systems with measurable impact.
- Expertise in Python, computer vision, and ML/DL tooling.
- Proficiency in MLOps, including data modeling, packaging, containerization, and CI/CD.
- Proficiency in data science for vision-based model optimization.
- 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 interfaces.
- Knowledge of TensorRT, ONNX, CUDA, cuDNN, and edge deployment on x64, ARM, or Jetson hardware.
Benefits
- Hybrid working model.
- Flexible and international working environment with an informal Norwegian company culture, low hierarchies, and short decision paths.
- Modern office and testing facilities.
- Sustainable and future-oriented industry with opportunities to shape future machine developments.
- Competitive salary package including bonus.
- Laptop and mobile phone.
- Long-term development opportunities within an international technology company.
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.