
Data Science Architect
- Dublin
- Permanent
- Full-time
- 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.
- 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).
- Master's or higher degree in Artificial Intelligence, Mathematics, Statistics or an equivalent field.
- Computer vision background and expertise.
- 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.
- Health insurance.
- Pension scheme:
- 2% employee contribution with 4% employer contribution,
- 4% employee contribution with 6% employer contribution,
- 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.