We are looking for a Data Science Architect to lead the design and evolution of our data science systems across machine and cloud platforms. As a key member of the R&amp;D team, you will shape the architecture that powers deep learning inference on TOMRA Food sorters and drive innovation in our cloud-based MLOps platform that was developed to train the models. This role blends technical leadership, system design, and strategic foresight to deliver scalable, high-performance solutions that create real customer value. Role and Responsibilities:System Architecture &amp; MLOps: <ul><li>Design DL vision models by selecting a suitable backbone, neck and head and testing the performance of those combinations. Innovations in these areas are highly welcomed. </li><li>Design architecture for real-time deep learning inference on TOMRA sorters, including GPU specifications. </li><li>Maintain &amp; improve architecture of in-house cloud-based MLOps platform (data science pipelines).  </li><li>Design &amp; advise on new features for the MLOps platform. </li><li>Follow latest improvements in AzureML ecosystem and come up with efficiency improvements. </li><li>Optimise model lifecycle process and come up with performance improvements for our DL models in order to create customer value. </li><li>Produce architectural plans for our data science solutions and ensure that these are well communicated and understood by the rest of the data science team. </li></ul>Technical Leadership: <ul><li>Provide technical leadership and guidance to data scientists. </li><li>Stay up to date of industry trends and emerging technologies to ensure our systems remain cutting-edge. </li><li>Understand customer needs and assist in translating these to technical product requirements. </li><li>Follow latest DL model trends and push improvements to the data science team (this includes making use of new libraries).</li></ul>

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.

Data Science Architect

We are looking for a Data Science Architect to lead the design and evolution of our data science systems across machine and cloud platforms. As a key member of the R&amp;D team, you will shape the architecture that powers deep learning inference on TOMRA Food sorters and drive innovation in our cloud-based MLOps platform that was developed to train the models. This role blends technical leadership, system design, and strategic foresight to deliver scalable, high-performance solutions that create real customer value.&nbsp;Role and Responsibilities:System Architecture &amp; MLOps:&nbsp;<ul><li>Design DL vision models by selecting a suitable backbone, neck and head and testing the performance of those combinations. Innovations in these areas are highly welcomed.&nbsp;</li><li>Design architecture for real-time deep learning inference on TOMRA sorters, including GPU specifications.&nbsp;</li><li>Maintain &amp; improve architecture of in-house cloud-based MLOps platform (data science pipelines).&nbsp;&nbsp;</li><li>Design &amp; advise on new features for the MLOps platform.&nbsp;</li><li>Follow latest improvements in AzureML ecosystem and come up with efficiency improvements.&nbsp;</li><li>Optimise model lifecycle process and come up with performance improvements for our DL models in order to create customer value.&nbsp;</li><li>Produce architectural plans for our data science solutions and ensure that these are well communicated and understood by the rest of the data science team.&nbsp;</li></ul>Technical Leadership:&nbsp;<ul><li>Provide technical leadership and guidance to data scientists.&nbsp;</li><li>Stay up to date of industry trends and emerging technologies to ensure our systems remain cutting-edge.&nbsp;</li><li>Understand customer needs and assist in translating these to technical product requirements.&nbsp;</li><li>Follow latest DL model trends and push improvements to the data science team (this includes making use of new libraries).</li></ul>

Data Science Architect

About the Job

About the Company

Tomra

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