Software Engineer, Computer Vision
A fast-growing sports analytics innovator using AI and computer vision for real-time data solutions. Recently secured funding for 30 months of runway and growth, backed by sports teams, funds, and private investors. Focused on football and US sports, working on 2-3 key projects.
Role Overview:
Join our AI/Computer Vision team to optimise real-time video processing pipelines, transition computer vision modules to production, enhance DevOps practices, and build APIs. Ideal for a Developer eager to grow in computer vision and AI.
Key Responsibilities:
* Optimise video processing pipelines for real-time inference using Python programming.
* Leverage GStreamer (ideally Nvidia DeepStream) for multimedia processing.
* Develop APIs with FastAPI for computer vision applications.
* Implement CI/CD pipelines for cloud and edge deployments.
* Collaborate to integrate solutions and monitor systems.
Requirements:
* Experience with video processing (FFmpeg, GStreamer/DeepStream) and video codecs.
* Proficiency with Docker, Linux, and FastAPI or similar frameworks.
* Knowledge of DevOps, CI/CD, and cloud platforms (Azure/AWS).
* Understanding of edge computing.
* Passionate, collaborative, and adaptable to a small team.
* UK timezone alignment; flexible for occasional global collaboration.