
AI Systems Designer
7 days ago
As a Data Science Architect, you will lead the design and evolution of our data science systems across machine and cloud platforms. You will shape the architecture that powers deep learning inference on sorters and drive innovation in our cloud-based MLOps platform.
Key Responsibilities:- Design DL vision models by selecting a suitable backbone, neck and head and testing the performance of those combinations.
- Design architecture for real-time deep learning inference on 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.
- 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.
- Experience with AzureML, Databricks, AWS or similar and tools like MLFlow.
- Experience with data visualisation and labeling tools such as Voxel51 & Labelstudio.
- Experience with databases.
- 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.
- 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.
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.
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