SDE-1 (Computer Vision Engineer)
Skills
About This Role
Responsibilities
- Solve real-world **Computer Vision** problems using cutting-edge techniques.
- Design and implement **robust, industry-grade algorithms**.
- Utilize **OpenCV**, **Python**, and **deep learning frameworks** for model training.
- Work with deep learning libraries such as **Keras**, **TensorFlow**, and **PyTorch**.
- Develop integrations with internal and external **microservices**.
- Implement **deployment practices** using **Docker**, **Kubernetes**, and model compression techniques.
- Research the latest technologies and develop **proof of concepts (POCs)**.
- Build and train **state-of-the-art deep learning models** for:
- + Object Detection (**Mandatory**)
- + Segmentation
- + Classification
- + Object Tracking
+ Generative Adversarial Networks (GANs)
- Collaborate with researchers and engineers to develop and deploy **Computer Vision** solutions.
- Plan and execute **Computer Vision research projects**, defining scope, objectives, and deliverables.
- Provide specialized **technical and scientific research support** for ongoing and new AI initiatives.
- **Requirements** **Required Skills**
- **C++ (Mandatory)**
- **Python (Mandatory)**
- **Image Processing (Mandatory)**
- **Computer Vision (Mandatory)**
- **Deep Learning (Mandatory)**
- Object Detection
- Machine Learning
- Pattern Recognition
• Artificial Intelligence (AI)
- Data Science
• Generative Adversarial Networks (GANs)
- Flask
- SQL
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SDE-1 (Computer Vision Engineer)
Master Works · Riyadh
Responsibilities Solve real-world Computer Vision problems using cutting-edge techniques Design and implement robust, industry-grade algorithms Utilize OpenCV, Python, and deep learning frameworks for model training
Skills
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