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SDE-1 (Computer Vision Engineer) at Master-Works
Riyadh, Riyadh Region, Saudi Arabia -
Full Time

Start Date

Immediate

Expiry Date

12 Jul, 26

Salary

0.0

Posted On

13 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

C++, Python, Image Processing, Computer Vision, Deep Learning, Object Detection, Machine Learning, Pattern Recognition, Artificial Intelligence, Data Science, Generative Adversarial Networks, Flask, SQL, OpenCV, TensorFlow, PyTorch

Industry

IT Services and IT Consulting

Description
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 Visual Style Transfer 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. 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
Responsibilities
Develop and implement robust computer vision algorithms and deep learning models for tasks such as object detection, segmentation, and tracking. Collaborate with engineering teams to integrate solutions into microservices and manage deployment using Docker and Kubernetes.