*Riyadh Based* - This role requires relocation to Riyadh, KSA

Our client seeks a Senior Computer Vision Engineer. The role involves hands-on CV/ML software development and deployment, from understanding the product requirements and defining Computer Vision functional specs to designing, developing, and deploying CV/ML models in production at scale.

You will be responsible for

• Solving object detection, positioning, instance segmentation, and tracking.
• Development of algorithms and models to extract different features from videos captured by mobile mapping equipment and satellite data.
• Deployment of computer vision algorithms and ML models.
• Work closely with a cross-functional team of data scientists, software engineers, and product managers to define project requirements and deliver solutions.
• Mentor junior engineers and provide technical leadership in computer vision and machine learning projects.
• Conduct performance analysis and fine-tune models for optimal performance.
• Stay up-to-date with the latest advancements in machine learning and computer vision technologies.

The ideal candidate has the following attributes:

• MS in computer vision, machine learning, AI, applied mathematics, data science, or related technical fields or BS with 5+ years experience in Computer Vision/Machine Learning
• Hands-on experience in developing new learning algorithms for one or more computer vision tasks such as object detection, object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation, adversarial and generative models, etc., and representational learning with a varied amount of data – from a few samples to a very large dataset.
• Experience with deep learning, object detection, and image classification is essential.
• Experience with YOLO is highly desirable.
• Ability to train and debug deep learning systems – from defining datasets and evaluation metrics, model training, deployment, failure characterization, and iterative improvement
• Strong programming skills and development experience with Python and ML/DL frameworks such as Tensorflow, Pytorch, etc.
• Deep insights into data characteristics and the ability to map those to appropriate model architecture.