Senior Computer Vision Engineer

About the 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.

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.

2 to 4 years of hands‑on experience in Computer Vision, Deep Learning, and building AI solutions.

Strong proficiency in PyTorch (or Tensor Flow) and OpenCV.

Practical experience or strong familiarity with optimizing CV models for real‑time inference (using tools like Tensor

RT or ONNX).

Solid coding skills in Python and a good working knowledge of C++.

Solid understanding of modern CV architectures (e.g., YOLO variants) and multi‑object tracking algorithms.

Experience in processing video/image datasets, data augmentation, and managing labeling pipelines.

Bachelor's degree in Computer Science, Artificial Intelligence, or a related field (a Master's degree is a plus).