Job Description

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Independently or as member of a team Engineer will be responsible for design development verification of AI models The individual should be a team player who is willing to collaborate and work in cross functional teams across geographies and cultures Strong technical background in medical devices and applications would be preferred

Key Responsibilities:

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Develop and maintain AI models Expertise in AI specifically in deep learning computer vision and real time image processing Experience with machine learning frameworks TensorFlow PyTorch and familiarity with convolutional neural networks CNNs and generative models like GANs and Transformer architecture which are commonly used in medical image analysis Algorithms optimization like quantization pruning distillation and factorization Continuously improves code quality and work methodologies by interfacing with peers cross functional groups and analyzing activities to improve workflow and work processes Willing to adopt new architecture programming language and practices based on company future goal Continuously looking for better code design and open to feedback Requirements Experience 6 years of strong experience in AI model development Expertise in AI specifically in deep learning computer vision and real time image processing Experience with machine learning frameworks TensorFlow PyTorch and familiarity with convolutional neural networks CNNs and generative models like GANs and Transformer architecture which are commonly used in medical image analysis Experience leveraging fine tuning and deploying open source github huggingface ML models in ML domains including computer vision audio language Experience in optimization algorithms like quantization pruning distillation and factorization Working knowledge in 3D image visualization OpenGL DirectX Python Strong understanding of software engineering principles Experience with data preprocessing augmentation and working with large scale datasets Experience in python training ML models on large datasets Experience interpreting training results training loss validation loss and other metrics to ensure high accuracy and prevent overfitting Excellent problem solving project management and leadership skills

Preferred Skills:

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Technology->Machine Learning->R,Technology->Machine Learning->Python