Senior Computer Vision Engineer
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Key skills for this role
About the Role
Rime Platform seeks a Senior Computer Vision Engineer to lead design, development, and deployment of real-time computer vision models. The role requires strong proficiency in PyTorch, OpenCV, and model optimization for real-time inference, with experience in object detection and tracking.
Key Skills for This Role
Responsibilities
- Lead the design, development, and deployment of state of the art computer vision models for real time analysis of complex environments
- Bridge the gap between AI research and production grade engineering
- Lead development, training, and deployment of CV models such as object detection and tracking
- Oversee data pipelines and optimize models using TensorRT/ONNX for low latency real time inference
- Drive technical success and scalability of smart vision products
Requirements
- Strong proficiency in PyTorch (or TensorFlow) and OpenCV
- Practical experience or strong familiarity with optimizing CV models for real time inference using TensorRT or ONNX
- Solid coding skills in Python and 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 related field (Master's is a plus)
Full Job Posting
Description
- At Rime, we are on a massive mission to empower businesses and optimize 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, leading design, development, and deployment of state of the art computer vision models that analyze complex environments in real time.
- 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
- Lead the development, training, and deployment of state of the art computer vision models (such as object detection and tracking).
- Oversee data pipelines and optimize 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.
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