Posted:1 day ago|
Platform:
On-site
Full Time
As a Computer Vision Engineer, you will develop cutting-edge algorithms and models to solve complex visual perception problems. You will work closely with cross-functional teams to design, test, and deploy computer vision systems that leverage the latest advancements in artificial intelligence and machine learning.
You will be responsible for building solutions that can recognize patterns, track objects, and understand the environment from visual data, improving our ability to automate processes, enhance user experiences, and gain insights from visual content.
Design and implement algorithms to analyze and interpret images, videos, and other visual data sources (e.g., object detection, recognition, segmentation, tracking, etc.).
Create and fine-tune machine learning models for image classification, object detection, and other vision-related tasks.
Collect, clean, and preprocess image and video datasets, performing data augmentation to improve model robustness.
Collaborate with software engineers to integrate computer vision solutions into production environments, ensuring they work at scale and in real-time.
Stay up to date with the latest research in computer vision and deep learning, applying state-of-the-art techniques to improve system performance.
Design and conduct experiments to evaluate the accuracy and performance of vision models, fine-tuning as necessary.
Work closely with data scientists, software engineers, and product managers to ensure alignment between technical solutions and business goals.
Enhance model performance for computational efficiency, such as improving speed, reducing memory usage, and optimizing for embedded systems or mobile devices.
Identify and resolve issues that arise during the development and deployment of vision systems, ensuring smooth operation in real-world applications.
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