You design, implement, test, deploy, and maintain data- and model-centric systems that deliver production-grade ML functionality. Typical tasks span:Machine Learning Engineering<ul><li>Build end-to-end ML training pipelines (ingestion, validation, transformation, training, evaluation)</li><li>Deploy, optimize and package models for inference</li><li>Support the platform team to serve models in cloud</li><li>Support the ai runtime team to serve models on edge/sorters</li><li>Participate in data and model centric research and innovation</li></ul>Data Management<ul><li>Build, integrate and maintain secure data platforms (e.g., SQL/NoSQL warehouses, object storage, feature stores)</li><li>Ensure data security, privacy, and compliance</li></ul>Service &amp; ML Tooling<ul><li>Design and implement REST APIs to expose ML services and data platform functionality</li><li>Develop and maintain internal tools and web-based UIs that support ML workflows</li></ul>Software Engineering<ul><li>Apply software engineering practices for version control, code reviews, and accurate technical documentation</li><li>Develop robust and maintainable code with unit, integration, and performance tests and knowledge transfer</li><li>Containerize components and implement CI/CD pipelines</li><li>Maintain and troubleshoot ML tooling in production</li><li>Close collaboration and alignment with our internal users</li></ul>We expect high ownership of assigned projects including stakeholder management, requirements engineering, project management and technical decisions.

TOMRA was founded on an innovation in 1972 that began with the design, manufacturing and sale of reverse vending machines (RVMs) for automated collection of used beverage containers. Today TOMRA provides technology-led solutions that enable the circular economy with advanced collection and sorting systems that optimize resource recovery and minimize waste in the food, recycling and mining industries.

Machine Learning Engineer*

About the Job

About the Company

Tomra

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