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Data Science Architect- Computer Vision

Job in Town of Belgium, Belgium, Ozaukee County, Wisconsin, 53004, USA
Listing for: TOMRA Collection Pty Ltd
Full Time position
Listed on 2026-01-06
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist
Job Description & How to Apply Below
Location: Town of Belgium

TOMRA Food is a multinational organisation and a leading provider of sensor-based sorting, peeling and integrated post-harvest solution for the food industries. Transforming global food production to maximise food safety and minimise food loss by making sure Every Resource Counts™, has been our strength for over 50 years.

At TOMRA, we want people to innovate
, show passion in their work and be responsible
. We encourage the freedom to innovate and take risks that result in breakthroughs that challenge the status quo. We value passion that focuses and commits to meeting success. We believe in a responsible and safe mindset that takes care of our customers, products, and fellow employees.

Join the resource revolution!

Job Description

We are looking for a Data Science Architect (Computer Vision) to lead the design and evolution of our data science systems across machine and cloud platforms. As a key member of the R&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
  • Design vision models for real-world food sorting applications
  • Design architecture for real-time deep learning inference on TOMRA sorters, including GPU specifications. The tasks include object detection, segmentation and more.
  • Design DL vision models (CNN-based like Res Net, Mobile Net, Efficient Net & Transformed-based) by selecting a suitable backbone, neck and head and testing the performance of those combinations. Innovations in these areas are highly welcomed.
  • Maintain & improve architecture of in-house cloud-based

    LOps platform (data science pipelines).
  • Design & advise on new features for the MLOps platform.
  • Follow latest improvements in Azure

    ML ecosystem and come up with efficiency improvements.
  • Optimize model lifecycle process and come up with performance improvements for our DL models in order to create customer value.
  • 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.
Technical Leadership
  • Provide technical leadership and guidance to data scientists.
  • Stay up to date of industry trends and emerging technologies to ensure our systems remain cutting-edge.
  • Understand customer needs and assist in translating these to technical product requirements.
  • Follow latest DL model trends and push improvements to the data science team (this includes making use of new libraries).
Qualifications
  • Master's or higher degree in Artificial Intelligence, Mathematics, Statistics or an equivalent field.
  • Experience in a Data Science Architecture role.
  • Computer vision background and expertise, including multi-modal vision (RGB, hyperspectral, NIR imaging).
  • Experience with DL inference on edge devices and GPU benchmarking.
  • Proficiency with several machine-learning tools, application programming languages and frameworks (e.g., Python, PyTorch, Tensor

    RT, Tensor Flow, ONNX runtime and embedded GPU deployment).
  • End-to-end product experience, product ionizing DL models from capturing data to running inside an industrial application.
  • Experience with Azure

    ML, Databricks, AWS or similar and tools like MLFlow.
  • Experience with data visualization and labeling tools such as Voxel
    51 & Labelstudio or similar.
  • Experience with databases (SQL, LakeFS, Azure blob…).
  • CUDA experience is a bonus.
  • Track record of completing full development cycle of data science products that were applied in production on large scale.
  • In-depth knowledge of data science principles & DL backbones (also mathematically).
  • Excellent communication and interpersonal skills.
  • Familiarity with relevant industry standards and licensing requirements.
  • Proven experience in influencing and communicating effectively with a team.
  • Strong problem-solving and troubleshooting skills.
Additional Information

At TOMRA Food, we offer a long-term career. Here’s what you can expect when you become part of our team:

  • Access to our…
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