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Computer Vision Model Developer
Location
Mexico
Posted
5 days ago
Salary
0
Seniority
Mid Level
Job Description
Computer Vision Model Developer
System Soft Technologies
Role Description As a Senior AI Deployment Engineer, you will work with a team of AI scientists, AI and xR application engineers, software engineers, and clinical experts to design, develop, and deploy computer vision, augmented reality, mixed reality, multi-modal AI models, and GenAI features into existing and new medical device products. This is a unique, high visibility opportunity for talented individuals who want to dive deep into cutting-edge AI model optimization for mobile edge deployments. Technical Responsibilities - Develop and deploy Artificial Intelligence (AI) powered software on mobile edge devices (iPhone, iPad, Vision Pro, Android systems) - Optimize AI models and pipelines for real-time inference on mobile edge devices - Debug memory constraints, threading, and concurrency issues - Design deployment evaluation frameworks, develop unit tests for software components in compliance with regulatory requirements - Generate and review the necessary documents with project teams - Perform Software verification and validation testing - Perform code reviews as an independent reviewer following best coding standards and practices Qualifications - Bachelor's degree in software engineering/computer science or related discipline with 4+ years of relevant work experience OR Master's in a relevant discipline and 2+ years of experience OR PhD degree in a relevant discipline. Requirements - 4+ years of Python development experience. - 3+ years of experience developing and deploying AI models on iOS and/or Android platform - 2+ years of iOS development experience (Xcode, Swift) - Android mobile development experience is a plus - Familiarity with mobile AI architectures (Apple Neural Engine, Metal Performance Shaders, Qualcomm DSP/GPU) - Experience converting models from PyTorch to CoreML/TensorFlow Lite/ONNX Runtime Mobile, performing custom model optimization, etc. - Experience integrating AI models into native mobile applications (Swift, Objective-C, Kotlin, Java) - Experience troubleshooting unsupported ops and custom layers during model conversion - Experience with CI/CD Git automation pipelines - Proven ability to optimize AI models for real-time inference on edge devices to meet latency and performance requirements - Knowledge of model optimization techniques (quantization, pruning, graph optimization, distillation, etc.) - Experience with VisionOS development is a big plus
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