Computer Vision Engineer
Job summary
We are looking to hire a Computer Vision Engineer to join our team.
Job descriptions & requirements
- Develop and apply computer vision techniques for image recognition, object detection, and image segmentation tasks.
- Enhance algorithm efficiency and precision through optimization technique.
- Gather, prepare, and label image datasets for use in training and evaluating machine learning models.
- Maintain data accuracy and consistency during all stages of the model development lifecycle.
- Evaluate the performance of computer vision models using standard metrics such as accuracy, precision, and recall to ensure robust and reliable results.
- Collaborate with cross-functional teams such as software engineers, data scientists, and product managers to integrate computer vision solutions into real-world applications.
- Stay current with emerging trends and advancements in computer vision and machine learning to inform and enhance development efforts.
- Ensuring the privacy and security of visual data.
- Monitor and maintain deployed models to ensure ongoing performance, accuracy, and reliability in production environments.
- Debug and fix issues in the existing computer vision system.
- Test and validate computer vision solutions and improve performance over time.
- Test and validate computer vision solutions and improve performance over time.
- A Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
- Proven experience as a computer vision engineer or similar role.
- Proficiency in programming languages such as Python, C++, or Java, and experience with computer vision libraries and frameworks.
- Knowledge of machine learning and deep learning algorithms
- Experience with image recognition, tracking, and 3D reconstruction.
- Strong understanding of linear algebra, optimization, probability, and statistics.
- Portfolio showcasing relevant projects or contributions to open-source initiatives.
- Strong problem-solving abilities.
- Good communication skills for collaboration with cross-functional teams.
- Ability to work independently and manage time effectively.
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