The incumbent of this role will be responsible to autonomously build, deploy, and scale fast, reliable, and maintainable Computer Vision products within a specialized domain, balancing high-accuracy model inference with real-time processing constraints, infrastructure efficiency, and cross-squad architectural alignment.

Key Responsibilities

• Deliver highly reliable Computer Vision features by writing clean, modular, and optimized pipelines that achieve target accuracy metrics, minimize false positives/negatives, and meet the Definition of Done.
• Drive the squad’s technical growth through structured reviews of both software code and model architectures, ensuring all engineers are proficient in the Universal Stack and modern Computer Vision deployment frameworks.
• Design modular Computer Vision processing pipelines that easily integrate across squads via robust API contracts, making it simple for the TRE team to monitor frame-ingestion, queuing, ...