Computer Vision Engineer - Medical Sector

Project overview

Role objective

Improve an application’s image capture and processing capabilities, assess whether reliable analysis can be achieved without a photobooth, and validate performance across a wider range of smartphones beyond the currently supported smartphone model.

Key responsibilities

Candidate profile

Expected deliverables

Languages:

Skills:

• Assess the current image capture workflow and identify the factors that make the photobooth necessary.
• Develop and evaluate methods to reduce reliance on the photobooth, addressing variations in lighting, shadows, reflections, camera angle, distance, focus, and image distortion.
• Implement automated image quality checks and user guidance to help users capture suitable images and retake unsuitable ones.
• Identify all the smartphone components that can have an impact on the application’s performance and safety.
• Define minimum smartphone and camera requirements, including resolution, autofocus, operating system compatibility, and processing capacity.
• Design a validation matrix covering different phone manufacturers, models, camera specifications, and operating conditions.
• Build representative image datasets and test protocols to assess accuracy, repeatability, robustness, and processing time across devices.
• Define acceptance criteria with microbiology and quality teams, and document supported devices, limitations, and recommended capture conditions.
• Experience in computer vision, image processing, and camera-based measurement.
• Strong programming skills in Python and relevant libraries such as OpenCV; experience integrating algorithms into mobile applications.
• Knowledge of camera calibration, perspective correction, illumination correction, segmentation, and image quality assessment.
• Knowledge of smartphone camera hardware and imaging pipelines, including sensor and lens characteristics, autofocus, exposure control, white balance, HDR, image compression, and manufacturer-specific image processing that may affect measurement accuracy.
• Experience designing reproducible experiments and validating performance across different devices.
• Experience with medical imaging, diagnostic tools, or microbiology applications would be an advantage.
• A feasibility assessment and prototype for image capture without a photobooth.
• A documented smartphone compatibility test plan and validation report.
• Evidence-based minimum device specifications and recommendations for broader deployment.
• Fluent English
• Strong writing and communication for documentation and multidisciplinary teamwork
• Analytical thinking and research aptitude
• Having knowledge and interest in the following topics is a plus (not mandatory): medical devices, humanitarian innovation, limited resource settings.

Project details

• Start: asap
• Remote: remote
• Location: Paris, France, FR
• Languages: English