Senior Computer Vision Engineer
This role focuses on designing and deploying advanced computer vision systems to transform real-time video and sensor data into operational insights, with a strong emphasis on real-world deployment and client-facing impact. The engineer will lead model development for applications like queue analysis, compliance verification, and hygiene monitoring in dynamic environments.
Skills required
About this role
At Rime, we are on a massive mission to empower businesses and optimize our clients' operational processes by transforming real-time video streams and sensor data into actionable insights. As a Senior Computer Vision Engineer, you will be at the very heart of our core technology. You will lead the design, development, and deployment of state-of-the-art computer vision models that analyze complex environments in real-time. From detecting queue lengths and analyzing customer behavior to verifying uniform compliance and hygiene standards, your algorithms will serve as the "eyes" that put an end to operational blindness for our clients.
Qualifications
Experience: 2 to 4 years of hands-on experience in Computer Vision, Deep Learning, and building AI solutions.
Frameworks & Libraries: Strong proficiency in PyTorch (or TensorFlow) and OpenCV.
Model Optimization: Practical experience or strong familiarity with optimizing CV models for real-time inference (using tools like TensorRT or ONNX).
Programming Skills: Solid coding skills in Python and a good working knowledge of C++.
Modern Architectures: Solid understanding of modern CV architectures (e.g., YOLO variants) and multi-object tracking algorithms.
Data Handling: Experience in processing video/image datasets, data augmentation, and managing labeling pipelines.
Academic Background: Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field (A Master's degree is a plus).
