17:I[832,["669","static/chunks/app/(Engagement)/similar-jobs/%5Bid%5D/page-03848a0deb1d5ccd.js"],"default"] 1a:I[5878,["669","static/chunks/app/(Engagement)/similar-jobs/%5Bid%5D/page-03848a0deb1d5ccd.js"],"Image"] 18:T481,{"showUserEngagement":"true","resumeParserSwitch":"false","syndicatedQuickApplyEnabled":"false","bulkApplyMultiSelect":"15","oldLoginCheck":"true","showUploadViaGoogleDrive":"false","heroSectionHeading":"Over 700,000+","gaAccountId":"UA-33927874-1","hideCsCartIcon":"false","triumphEventId":"2","showAppRegistrationPopup":"true","recaptchaV2Switch":"true","srpBrandBooster":"false","dfpSwitch":"true","parseNewResume":"true","parseResumeSwitchDesktop":"false","hideExperienceTypePopup":"true","cleverTapProjectId":"6K9-ZK8-ZZ6Z","copyrightYear":"2020","showDesktopDropboxV2":"false","hideBellNotification":"false","showPassiveJobs":"false","checkEmailExistence":"true","jobsCount":"Over 800,000+","showPromotionsBox":"false","parseResumePhoenix":"true","showAppLoginPopup":"false","resumeParseTime":"30000","showAspireElement":"false","channelName":"Gulf","socialLoginOn":"true","newProfileFlow":"false","socialUrls":"[\"https://www.facebook.com/founditGULF/\",\r\n\"https://x.com/foundit_Gulf\",\r\n\"https://www.linkedin.com/company/foundit-jobs/\",\r\n\"https://www.youtube.com/@foundit_G/featured\",\r\n\"https://www.instagram.com/foundit_gulf/\"]"}19:T450,We are seeking a Computer Vision Engineer with strong software and AI fundamentals to build and deploy high-performance AI models. You will handle the full pipeline—from training detection and segmentation models to optimizing them for production using NVIDIA TensorRT and Docker.

Core Responsibilities

Model Training: Train and fine-tune models for Detection, Classification, and Segmentation (e.g., YOLO, ResNet, U-Net)
Tracking: Implement Multi-Object Tracking (MOT) algorithms for complex video streams
Engineering: Write production-grade Python code with a focus on modularity and scalability
Deployment: Co

Computer Vision Engineer (PyTorch/TensorRT)