Technical Lead - Computer Vision

We're looking for a technical lead who can own and drive our computer vision initiatives end-to-end. This is a hands-on leadership role; you'll be writing code, reviewing architectures, mentoring developers, and serving as the primary technical point of contact for our customers.
Responsibilities:
Lead a team of computer vision developers, providing technical direction and mentorship.
Architect, develop, and optimise CV algorithms and pipelines.
Coordinate directly with customers to understand requirements, provide updates, and ensure delivery excellence.
Oversee deployment of CV solutions on NVIDIA GPU infrastructure (A4500 L4 and similar) and Jetson edge devices (Orin, Xavier, and similar), Raspberry Pi, and similar devices.
Conduct code reviews and establish best practices for the team.
Balance individual contribution with team leadership; we expect you to stay close to the code.
Requirements:
5+ years of experience in computer vision, with at least 2 years in a lead or senior role.
Strong proficiency in Python and deep learning frameworks (PyTorch, TensorRT, CUDA).
Hands-on experience with video analytics, object detection, tracking, segmentation, or recognition systems.
Experience in deploying computer vision pipelines in production.
Experience with the NVIDIA Jetson platform (Orin, Xavier, or similar).
Familiarity with NVIDIA GPU deployment workflows (CUDA, TensorRT, and DeepStream) is a plus.
Experience managing or mentoring a team of 3+ developers.
Strong communication skills: you'll be the face of our technical team to customers.
Ability to context switch between writing code and leading people.
Nice to Have:
Optimising GStreamer and DeepStream applications with CUDA and TensorRT.
Experience with model optimisation, compression, and model quantisation.
Background in ANPR, video analytics, or industrial vision systems.
Exposure to vision language models or generative AI and frameworks like vLLM and SGLang.

Experience
8-12 yrs