Overview
We are looking for a Senior Data Scientist with a passion for leveraging deep learning and computer vision techniques to drive advancements in the Food industry. As a key member of the AI team, reporting to the AI Team Lead, you will contribute to the development of cutting-edge algorithms for real-time food sorting, predictive maintenance and anomaly detection.
Responsibilities
* Develop, test and implement deep learning and computer vision algorithms for real-time food sorting performance.
* Create predictive models and algorithms for machine reliability, predictive maintenance and anomaly detection.
* Analyse and explore large and complex datasets using data analytics techniques and statistical modelling.
* Collaborate with cross-functional teams to understand business objectives and devise data-driven solutions.
* Utilise and optimise real-time data processing and data visualisation tools.
* Communicate findings and insights to both technical and non-technical stakeholders effectively.
* Implement MLOps practices to build, test and deploy machine learning models.
* Take ownership of full DL model development lifecycle: from data capture at customer site, to deployment and maintenance over time.
* Instruct labelers and oversee data capture activities so that data quality is ensured.
* Experiment with cutting edge AI developments in order to create customer value on our sorters and maintain a competitive advantage over competition.
* Occasional travel to other R&D locations and customer sites for model validation.
Qualifications
* Master's Degree or PhD in Computer Science, Engineering or Mathematics.
* In-depth knowledge and experience with Computer Vision & Image Processing.
* Vision Models (yolo, resnet, sam).
* Proficiency with several machine-learning tools, application programming languages and frameworks (Python, Pytorch, TensorRT, Tensorflow…).
* Experience with AzureML, Databricks, AWS or similar and tools like MLFlow.
* Experience with data visualization & labeling tools such as voxel51 & labelstudio or similar.
* Experience with databases (SQL, LakeFS, Azure blob…).
* Bonus is experience with DL inference on edge devices and GPU benchmarking.
* Strong expertise in deep learning, computer vision and data analytics techniques.
* Ability to extract meaningful business insights from data and identify patterns.
* Experience with code revision control (GIT).
* Passion for prototyping new products and solutions with transformative potential.
* Stay updated on emerging AI developments and their potential impact on the food sorting industry.
* Strong communication skills, self-motivated, creative and collaborative.
Additional Information
* You will have long-term career opportunities, with a globally renowned company and the following:
* Health insurance.
* Pension scheme:
o 2% employee contribution with 4% employer contribution,
o 4% employee contribution with 6% employer contribution,
o 6% employee contribution 8% employer contribution.
* 25 days annual leave.
* Additional long service days.
* International and collaborative working environment.
* Space and support to experiment with new technologies.
* Social events.
* 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.
* Professional training and development: We are passionate about people and seeing them succeed.
* We love innovation, a collaborative environment where idea sharing and thinking outside the box 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.
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