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Capgemini
Must Have:
-Must have 6 to 10 years exp
Requirements:
•Experience: 6 to 10 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. Expertise in Python
•Experience in optimization algorithms like quantization, pruning, distillation, and factorization
•Experience leveraging, fine-tuning, and deploying open-source [github, huggingface] ML models in ML domains including computer vision, audio, language
•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.
Good to have:
•Experience in Qt, C/C++, Gstreamer
•Familiarity with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker, Kubernetes).
•Experience in Edge-AI optimizations like OpenVINO, NvidiaTensorRT
•Experience in implementing risk management processes in compliance with ISO 14971 (Application of Risk Management to Medical Devices).
•Experience in GMLP for medical device development principles
•Experience in data collection practices that comply with FDA guidance on AI/ML-based SaMD
-Good Team player
-Good to have medical domain exp but not must to have
- Exp in working in Agile projec
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