Job Description

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

Job Description - Grade Specific

Skills (competencies)