Job
- Level
- Erfahren
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Mülheim-Kärlich
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du ML-Modelle und implementierst end-to-end Pipelines zur Datenverarbeitung, während du dabei auch REST APIs zur Bereitstellung von ML-Diensten und internen Tools erstellst und wartest.
Job Technologien
Deine Rolle im Team
- You design, implement, test, deploy, and maintain data- and model-centric systems that deliver production-grade ML functionality.
- 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.
- Build, integrate and maintain secure data platforms (e.g., SQL/NoSQL warehouses, object storage, feature stores).
- Ensure data security, privacy, and compliance.
- 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.
- 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.
Unsere Erwartungen an dich
Qualifikationen
- 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).
Erfahrung
- Several years of proven professional experience delivering production ML systems with measurable impact.
Unser Angebot
- Modern technologies and AI-driven systems.
- A hands-on engineering environment with direct impact on machine performance.
- Close collaboration with international teams.
- Informal culture with low hierarchies and short decision paths.
- Norwegian company culture with an open "you" mentality.
- Opportunity to actively shape future machine developments.
- Hybrid working model.
- Flexible and international working environment.
- Modern office and testing facilities.
- Sustainable and future-oriented industry.
- Competitive salary package including bonus.
- Laptop and mobile phone.
- Long-term development opportunities within an international technology company.
Benefits
Gesundheit, Fitness & Fun
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Tomra Sorting GmbH
TOMRA wurde 1972 mit einer Innovation gegründet, die mit dem Design, der Herstellung und dem Verkauf von Rücknahmestellen (RVMs) für die automatische Sammlung von Getränkebehältern begann.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Industrie, Produktion, Energiewirtschaft, Umwelt
Machine Learning Engineer
- Ort
- Mülheim-Kärlich
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
