Description:
1. Algorithm Development: Design, implement, and optimize computer vision algorithms, ensuring accuracy, efficiency, and scalability.
2. Data Processing and Preprocessing: Work with large datasets, and perform data cleaning, augmentation, and preprocessing to prepare it for training and evaluation.
3. Model Training and Evaluation: Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) to train and evaluate computer vision models. Fine-tune pre-trained models for specific tasks.
4. Feature Extraction and Object Recognition: Develop techniques for feature extraction, object recognition, and semantic segmentation in visual data.
5. Real-time Processing: Implement real-time computer vision solutions for applications that require low-latency processing.
6. Hardware Optimization: Collaborate with hardware engineers to optimize algorithms for specific hardware platforms, ensuring efficient utilization of resources.
7. Integration and Deployment: Integrate computer vision solutions into existing systems and deploy them in production environments.
8. Documentation and Reporting: Maintain thorough documentation of algorithms, experiments, and results. Prepare reports and presentations for internal teams and stakeholders.
9. Stay Updated on Industry Trends: Stay abreast of the latest advancements in computer vision, machine learning, and related fields. Apply cutting-edge research to enhance our solutions.
Qualifications:
- Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Strong proficiency in Python, and experience with popular computer vision libraries (OpenCV, Dlib, etc.).
- Strong proficiency in GANs ( Generative Adversarial Network Technology )
- In-depth knowledge of machine learning and deep learning techniques, particularly in the context of computer vision.
- Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.
- Experience with GPU programming and parallel computing is a plus.
- Familiarity with cloud platforms (AWS, Azure, GCP) for deploying and scaling computer vision solutions.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
Organization | TMRA |
Industry | IT / Telecom / Software Jobs |
Occupational Category | Computer Vision Engineer |
Job Location | Riyadh,Saudi Arabia |
Shift Type | Morning |
Job Type | Full Time |
Gender | No Preference |
Career Level | Intermediate |
Experience | 2 Years |
Posted at | 2024-02-19 7:21 am |
Expires on | 2024-09-19 |