Computer Vision Engineer
2 weeks ago
Job Description
Responsibilities:
- Design and develop computer vision algorithms and models for various applications such as object detection, image recognition, and video analysis.
- Collect, preprocess, and curate large datasets for training and testing computer vision models.
- Implement and optimize deep learning architectures using frameworks like TensorFlow or PyTorch.
- Fine-tune pre-trained models to improve accuracy and performance on specific tasks.
- Evaluate and benchmark the performance of computer vision algorithms through rigorous testing and analysis.
- Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements and integrate computer vision solutions into larger systems.
- Stay up-to-date with the latest advancements in computer vision research and incorporate relevant techniques into projects.
- Troubleshoot and debug computer vision models to address performance issues and improve robustness.
- Document research findings, methodologies, and system architectures for knowledge sharing and future reference.
- Keep abreast of industry trends, emerging technologies, and best practices in computer vision.
Requirements:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- Solid understanding of computer vision fundamentals, including image processing, feature extraction, and object recognition.
- Proficiency in programming languages such as Python, C++, or MATLAB.
- Strong knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV, scikit-image).
- Experience with training and fine-tuning deep learning models for computer vision tasks.
- Familiarity with convolutional neural networks (CNNs), recurrent neural networks (RNNs), and other deep learning architectures.
- Proficient in using relevant tools and software for data preprocessing, annotation, and visualization.
- Strong analytical and problem-solving skills to address complex computer vision challenges.
- Excellent written and verbal communication skills to collaborate effectively with team members and present findings to stakeholders.
- Ability to work independently and in a team environment, managing multiple tasks and priorities.
- Prior experience in computer vision projects or research publications is a plus.
- Knowledge of GPU programming and cloud computing platforms for accelerated model training and deployment is advantageous.
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