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3 days ago
Requirements and responsibilities
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.Key Responsibilities:Design and develop robust machine vision algorithms for image analysis and automated inspection tasks.Utilize OpenCV and other computer vision libraries to build scalable solutions that integrate seamlessly with existing systems.Optimize image processing pipelines for accuracy, efficiency, and reliability across diverse data sources.Collaborate with cross-functional teams to define system requirements and deliver project milestones.Analyze, preprocess, and annotate large datasets to train, validate, and test vision models.Troubleshoot and resolve complex computer vision challenges, ensuring consistent high-quality results.Document technical processes and actively contribute to internal knowledge sharing.Required Skills and Qualifications:Proven expertise in computer vision, image processing, and machine vision systems.Extensive hands-on experience with OpenCV and similar libraries.Strong programming proficiency in Python and/or C++ for vision applications.Solid understanding of camera hardware, imaging sensors, and lighting principles.Exceptional written and verbal communication skills, with the ability to clearly articulate complex concepts.Demonstrated ability to work independently and manage multiple priorities in a remote setup.Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.Preferred Qualifications:Experience developing and deploying vision solutions in manufacturing, robotics, or similar domains.Familiarity with deep learning frameworks for image analysis (e.g., TensorFlow, PyTorch).Background in optimizing real-time computer vision systems for embedded devices.Required Skills: Computer Vision, OpenCV, Image Processing
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