Computer Vision Engineer

Objective:The team is building advanced Computer Vision solutions focused on tire inspection and analysis for passenger and aircraft tires.Key focus areas include:Reading and interpreting tire sidewall markings using Computer Vision modelsDeveloping custom deep learning models for OCR and visual inspection tasksImproving and optimizing already deployed modelsWorking on 3D Vision use cases to analyze tire wear and surface degradationTechnical Expectations:Strong understanding of Computer Vision fundamentalsGood knowledge of Neural Networks and Deep LearningExperience with Transformer-based vision models and CNN-based architecturesExposure to Vision Language Models (VLMs)Understanding of image augmentation and experimentation techniquesAbility to work at pixel-level understanding and image analysisKey Areas of Work:OCR / visual recognition3D VisionMulti-task learningModel experimentation and optimizationReal-world industrial imaging problemsHiring Expectations:Exact model or architecture experience is not mandatoryTeam is flexible on background fit if fundamentals are strongStrong logical thinking and problem-solving capability is highly preferredCandidate should have an experimentation mindset and adaptability toward modern Computer Vision techniquesValue Proposition of the Role:Opportunity to work on latest Computer Vision technologiesExposure to Transformer models, VLMs, Multi-task learning, and 3D VisionReal-world production AI applications with deployed systems

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