hybrid
Senior Computer Vision Engineer
Computer Vision Engineer
This Senior Computer Vision Engineer role focuses on applying object detection, recognition, and multimodal LLM techniques for a HealthTech AI platform. The position involves delivering cutting-edge work in digital health, leveraging experience in data augmentation and integrating various data sources. The successful candidate will join a high-performing team to develop production-level code in a test-driven environment.
About the role
About the Role
My Client is an exciting HealthTech Scale up who are using AI and Sensor Intelligence to make medical practises safer. They are hiring for a Senior Computer Vision Engineer with a focus on object detection & recognition and multimodal LLMs for their cutting-edge AI platform. Joining a top-tier team of Computer Vision Engineers to deliver exceptional work in the AI & Digital Health space.
Your Responsibilities
- Apply Object Detection & Recognition techniques to build deliver cutting-edge work for an AI Platform in Digital Health.
- Leverage experience in data augmentation and integrating multimodal data sources including RBG & NIR as well as Multimodal LLMs.
- Apply novel approaches to cutting-edge research projects in computer vision and deep learning.
- Collaborate within a high performing team of Computer Vision Engineers, in a test-driven development environment and write production level code to engineer solutions at scale for the platform.
Your Skills & Experience
- Minimum of MSc (ideally PhD) + 4 years of experience in commercial real-world applications, leveraging Computer Vision techniques including Object Detection & Recognition, Image Segmentation and Multimodal LLMs.
- Proficiency in Python, OpenCV, PyTorch, Numpy.
- Experience with imaging modalities (RGB, NIR) to enhance computer vision models.
- Ability to write production level code in Python (C++ is also desirable) and ideally prior experience working in test-driven development environment.
- Experience applying object detection and recognition techniques to metallic or highly reflective objects is highly desirable.
- Experience with LiDAR and imaging sensors for mobile applications in Computer Vision is desirable, but not essential.