Responsibilities / Tasks

• Responsible for building and maintaining the mechanisms for running model inference.

• Work with other teams to get new models from design to production as efficiently as possible.

• Make technical decisions that balance performance and cost.

• Contribute to best practices, design patterns and identifying opportunities to refactor code.

• Collaborates across team to ensure the full video pipeline is efficient.

• Maintaining the CI/CD pipeline to ensure rapid deployment of models.

• Take an active role in building, maintaining the inference edge device along with the tools required to monitor it in the field.

• Support other Vision Engineers in learning existing design concepts.

• Maintain documentation to allow others to further develop inference components.

Innovation and Change:

• Plays an active roles in team process improvements.

• Creates and maintains mechanisms to deploy models across multiple deployment targets.

• Work with the team lead to scope and refine data requirements and to influence technical decisions, from problem statement to delivered solution.

• Works with internal stakeholders to ensures to makes sure new algorithm ideas get delivered into production.

• Creates prototypes that help achieve business Objectives and Key Responsibilities (OKR’s).

• Works with technical ops team to help on board and adapt farm installs where required.

• Create new ways to run algorithms effectively.

Your Profile / Qualifications

• Degree in Computer Science or related computer vision based discipline.

• Experience taking models from creation to production.

• Experience working with academic / researcher to convert ideas to products.

• A comprehensive understanding of model inference.

• Has worked with both cloud inference and edge inference devices.

• Detailed knowledge of Python

• Attention to detail.

• Understanding of image and video processing.

• Driven by high performance.

• Eagerness to stay up to date with latest technologies.

Did we spark your interest?
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