Senior Computer Vision Engineer

Welcome to where every role drives real change. At Rime, we don't just offer jobs, we offer the chance to shape industries and transform communities. Join professionals who wake up knowing their work matters, solving challenges that impact millions. Whether leading breakthrough initiatives or starting your journey, you'll work on projects that leave a lasting legacy. Every decision, every idea here creates ripple effects that matter. Ready to do work that matters? Explore our roles and join those making a real difference.

Description

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.

Requirements

• 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).

Roles And Responsibilities

As a Senior Computer Vision Engineer, your primary role is to bridge the gap between AI research and production-grade engineering. You will lead the development, training, and deployment of state-of-the-art computer vision models (such as object detection and tracking). You will be responsible for overseeing data pipelines and optimizing models using frameworks like TensorRT/ONNX to ensure low-latency, real-time inference. Your expertise in Python, C++, and modern CV architectures will drive the technical success and scalability of our smart vision products.