Data Scientist- Computer Vision (Arabic Speakers)

Role OverviewWe are looking for a highly skilled Senior Data Scientist specializing in Computer Vision to lead the design, development, and deployment of advanced vision-based AI systems. The ideal candidate will have deep expertise in traditional computer vision, feature engineering, and modern deep learning techniques, along with hands-on experience in building Agentic AI systems for intelligent decision-making.You will play a key role in building scalable, production-grade vision solutions and driving innovation across AI-powered products.Key ResponsibilitiesDesign and develop end-to-end computer vision pipelines for real-world applications.Apply and optimize traditional computer vision algorithms:Image processing, feature extraction, geometric transformations, tracking, and calibrationPerform advanced feature engineering:Extract meaningful visual features (texture, shape, color, spatial features)Combine handcrafted features with deep learning embeddingsImprove model performance through feature selection and transformation techniquesBuild and deploy deep learning models for:Object DetectionInstance and Semantic SegmentationDevelop and integrate Agentic AI systems that:Enable autonomous reasoning and decision-makingOrchestrate multi-step workflowsIntegrate with external tools and APIsOptimize models for performance, scalability, and edge deployment.Lead model evaluation, experimentation, and continuous improvement.Collaborate with cross-functional teams across engineering, product, and business.Mentor junior team members and contribute to architectural decisions.Required Skills & QualificationsExperienceExperience: 6–8 Years (B.Tech), 4-6 Years (M.Tech) in Data Science / Computer Vision / AI rolesCore Technical SkillsStrong expertise in traditional computer vision:Image filtering, edge detection, morphology, feature matching, object trackingStrong experience in feature engineering for vision tasksDeep expertise in deep learning for vision:Object Detection, Semantic Segmentation, and Instance SegmentationHands-on experience with:PyTorch / TensorFlow / OpenCV / OnnxStrong programming skills in PythonAgentic AI ExpertiseExperience in designing Agent-based AI systems using LLMsFamiliarity with:Tool usage, planning, memory, and orchestration frameworksLangChain, AutoGen, or similar ecosystemsAbility to combine vision models with LLMs for intelligent workflowsPreferred QualificationsExperience with Vision-Language Models (VLMs) and multimodal systemsKnowledge of MLOps / model lifecycle management (MLflow, Azure ML, etc.)Experience in real-time or edge AI systemsDomain experience in:Automotive, Insurance, Retail, Manufacturing, or SurveillanceFamiliarity with cloud platforms (Azure, AWS, GCP)