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Shared by 
3 days ago
Requirements and responsibilities
RequirementsMinimum 5 years of hands-on experience in AI, Machine Learning, Deep Learning, or Computer VisionMaster’s Degree in Computer Science, Software Engineering, Artificial Intelligence, Engineering, or a related fieldStrong knowledge of Computer Vision concepts and algorithmsExperience with CNN-based models and modern Computer Vision architecturesProficiency in Python, PyTorch or TensorFlow, and OpenCVExperience with Object Detection and Segmentation frameworks such as YOLO and Detectron2Understanding of model evaluation, optimization, and performance metricsExperience deploying AI models in cloud or on-premise environmentsFamiliarity with Docker and MLOps conceptsExcellent English communication skillsKey ResponsibilitiesDevelop and train Computer Vision models for image and video analyticsBuild solutions for Object Detection, Image Classification, Segmentation, and TrackingPrepare, clean, label, and augment datasetsOptimize AI models for GPU performance and scalable inferenceDeploy AI solutions using APIs and containerized environmentsIntegrate Computer Vision systems with broader AI platformsCollaborate with engineers, data scientists, and product teamsMaintain high-quality documentation and reproducible code
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