AI Engineer

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

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.