Principal AI/ML Engineer
USD 148K-297K Senior-level Full Time
Tasks
- Collaborate with clinical and V and V teams on validation metrics
- Contribute to software architecture and code reviews for AI solutions
- Create technical documentation for design controls verification and validation and risk management
- Design machine learning models for clinical applications
- Develop deep learning algorithms for OCT image segmentation
- Evaluate and integrate state of the art ML methods
- Optimize models for real time inference in embedded environments
- Own end to end ML lifecycle for model development and deployment
Perks/Benefits
- N/A
Skills/Tech-stack
3D image analysis | Computer Vision | Continuous Deployment | Continuous integration | Convolutional Neural Networks | Data Versioning | Deep learning | Design Controls | Device software development | Experiment design | Experiment tracking | Foundation Models | Generative AI | Image Segmentation | Image analysis | Image classification | ML pipelines | MLOps | Machine Learning | Medical Device | Medical Imaging | Medical device software | Medical device software development | Model Validation | Model versioning | Multimodal Learning | Neural Networks | ONNX | Object Detection | Production ML | Production ML pipelines | PyTorch | Python | Quantitative Analysis | Self-Supervised Learning | Self-supervised | Semantic Segmentation | Software development | Statistical Methods | Supervised Learning | TensorFlow | TensorRT | TorchScript | Verification and Validation | Vision Transformers
Education
Roles
AI/ML Engineer | Engineer | ML Engineer | Principal | Principal AI/ML Engineer
Regions
Countries
States
Cities
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