Data Science Architect at Tomra

Leuven, Flemish Brabant, Belgium -

Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

0.0

Posted On

12 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Deep Learning, Machine Learning, Computer Vision, MLOps, AzureML, Python, Pytorch, TensorFlow, CUDA, SQL, Data Visualization, GPU Benchmarking, Problem Solving, Interpersonal Skills, Technical Leadership

Industry

Automation Machinery Manufacturing

Description

Company Description 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 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: System Architecture & MLOps: 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. Design architecture for real-time deep learning inference on TOMRA sorters, including GPU specifications. Maintain & improve architecture of in-house cloud-based MLOps platform (data science pipelines). Design & advise on new features for the MLOps platform. Follow latest improvements in AzureML ecosystem and come up with efficiency improvements. Optimise 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 About You: Master's or higher degree in Artificial Intelligence, Mathematics, Statistics or an equivalent field. Computer vision background and expertise. ESSENTIAL. Proficiency with several machine-learning tools, application programming languages and frameworks (e.g., Python, Pytorch, TensorRT, Tensorflow). Experience with AzureML, Databricks, AWS or similar and tools like MLFlow. Experience with data visualisation and labeling tools such as Voxel51 & Labelstudio or similar. Experience with databases (SQL, LakeFS, Azure blob…). CUDA experience is a bonus. Experience with DL inference on edge devices and GPU benchmarking. 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 share purchase program. Bonus on personal and company performance, meal vouchers, eco-cheques. Be part of a mission to transform how we all obtain, use, and reuse the planet’s resources to enable a world without waste. Inclusive company culture that values diversity, well-being, and strong camaraderie among our teammates. Global career opportunities with a strong record for promoting internally. Professional training and development: We are passionate about people and seeing them succeed. We love innovation, a collaborative environment where idea sharing and being creative is encouraged. How to Apply: If this sounds like you, we would love to hear from you! All applications will be managed in the strictest confidence. TOMRA is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, colour, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristics. Reasonable accommodations will be made and will be provided as requested by candidates taking part in all aspects of the selection process.

Responsibilities

Lead the design and evolution of data science systems across machine and cloud platforms. Provide technical leadership and guidance to data scientists while optimizing model lifecycle processes.