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Machine Learning Engineer*

External
Tomra logoTomra · Mülheim-kärlich, Germany
Full-timeOn-site3d ago
CI/CDComplianceComputer VisionDocumentationMachine LearningMLOps
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Responsibilities

  • 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

Benefits

Hybrid working modelFlexible and international working environmentModern office and testing facilitiesSustainable and future-oriented industryCompetitive salary package including bonusLaptop and mobile phoneLong-term development opportunities within an international technology companyIf you enjoy solving complex technical challenges and want to see your software running on real industrial machines, we would love to hear from you.Does this sound like the right opportunity for you?Please send your CV, a few words about yourself, and your motivation for this position and joining TOMRA in the "Message to manager" field.Application Process: We will review applications throughout the posting period and expect to start first-round interviews from early August 2026 onwards.#LI-MH1Vision insurancePaid time offFlexible schedulePerformance bonus

Additional Information

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. 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)

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