Data Scientist- Computer Vision (Arabic Speakers)
Company not disclosed
Job Description
Role Overview We 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 Responsibilities - Design 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 calibration - Perform advanced feature engineering: - Extract meaningful visual features (texture, shape, color, spatial features) - Combine handcrafted features with deep learning embeddings - Improve model performance through feature selection and transformation techniques - Build and deploy deep learning models for: - Object Detection - Instance and Semantic Segmentation - Develop and integrate Agentic AI systems that: - Enable autonomous reasoning and decision-making - Orchestrate multi-step workflows - Integrate with external tools and APIs - Optimize 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 & Qualifications Experience - Experience: 6–8 Years (B.Tech), 4-6 Years (M.Tech) in Data Science / Computer Vision / AI roles Core Technical Skills - Strong expertise in traditional computer vision: - Image filtering, edge detection, morphology, feature matching, object tracking - Strong experience in feature engineering for vision tasks - Deep expertise in deep learning for vision: - Object Detection, Semantic Segmentation, and Instance Segmentation - Hands-on experience with: - PyTorch / TensorFlow / OpenCV / Onnx - Strong programming skills in Python Agentic AI Expertise - Experience in designing Agent-based AI systems using LLMs - Familiarity with: - Tool usage, planning, memory, and orchestration frameworks - LangChain, AutoGen, or similar ecosystems - Ability to combine vision models with LLMs for intelligent workflows Preferred Qualifications - Experience with Vision-Language Models (VLMs) and multimodal systems - Knowledge of MLOps / model lifecycle management (MLflow, Azure ML, etc.) - Experience in real-time or edge AI systems - Domain experience in: - Automotive, Insurance, Retail, Manufacturing, or Surveillance - Familiarity with cloud platforms (Azure, AWS, GCP)
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