Lead Project Engineer with ML hands-on experience
Core
Lead the end-to-end development and production deployment of computer vision models for a new imaging product that quantifies low volumes in micro well plates.
Role type
Lead Project Engineer (Computer Vision & ML)
Builds
A customer-ready imaging and quantification product for laboratory use
Domain
Laboratory instrumentation, optical imaging, computer vision
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, OpenCV, model deployment, system integration, codebase ownership
Preferred skills
Laboratory instrumentation, optical imaging systems, robotics, prototype-to-launch experience, real-time image/sensor data handling
Technologies
React, TypeScript, .NET, C++
Responsibilities
Develop, optimize, and deploy computer vision/ML models for low-volume imaging data; integrate ML outputs with backend and frontend architecture; troubleshoot model performance and data-processing bottlenecks; drive project execution to meet a 3-month customer-ready target
Seniority
Lead, hands-on IC
