Senior Algorithm Engineer
Tasks
- Curate and label training data
- Deploy and maintain production algorithms
- Develop and validate machine learning models
- Develop deep learning model architectures
- Gather specifications and requirements
- Implement unit tests and non regression testing
- Improve internal ML and deep learning tools
- Lead biosignal algorithm development lifecycle
- Maintain documentation for regulatory quality
- Perform failure analysis
- Present results to stakeholders
- Refactor code for reusability
- Set up CI pipelines
- Support client projects with algorithm integration
Perks/Benefits
Skills/Tech-stack
CI/CD | Code review | Data Curation | Data labeling | Deep learning | Device data | Digital Signal | Digital Signal Processing | Docker | Experiment tracking | Language Models | Large Language Models | Machine Learning | Medical Device | Medical device data | Model Deployment | Model Training | Non Regression | Non-regression testing | PyTorch | Regression testing | Series analysis | Signal Processing | Statistics | Time Series | Time Series Analysis | Transformers | Unit Testing | Version control | Vision Transformer
Education
N/A
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