AI/ML Engineer - Neuroclinical AI
Tasks
- Coordinate data collection and annotation
- Deploy AI models in regulated medical device environment
- Design Deep Learning architectures
- Develop machine learning models
- Generate IP and support peer reviewed research
- Maintain state of the art knowledge and high performance computing architectures
- Manage multiple AI/ML projects
- Perform statistical evaluation of AI algorithms
- Propose AI ML initiatives
- Translate clinical requirements into AI requirements
- Validate machine learning models
Perks/Benefits
- 401k retirement plan
- Dental insurance
- Life insurance
- Long-term disability insurance
- Medical insurance
- Paid parking
- Paid sick time
- Paid time off
- Short-term Disability Insurance
- Vision insurance
Skills/Tech-stack
Data Annotation | Data collection | Deep learning | High Performance | High-Performance Computing | Machine Learning | Model Deployment | Model Validation | Neuroimaging | Performance Computing | PyTorch | Python | Statistical Evaluation | TensorFlow
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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