Principal Data Science Engineer - AI/ML & Algorithms
Tasks
- Apply secure access controls
- Conduct data exploration and model development
- Design and deploy data driven software products
- Develop machine learning models
- Explain technical concepts to stakeholders
- Guide clinical algorithm strategy
- Implement deployment and regulatory compliance
- Perform data anonymization and pseudonymization
- Review and validate clinical algorithms
- Train and validate machine learning algorithms
- Translate clinical needs into technical specifications
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Algorithms | C++ | Calculus | Data Preprocessing | Data Privacy | Data Processing | Data Structures | Data cleaning | ETL | FDA Guidelines | GDPR | HIPAA | IEC 62304 | Linear Algebra | Machine Learning | Machine learning deployment | NoSQL | NumPy | Pandas | Probability | PyTorch | Python | SQL | Scikit-learn | Software Architecture | Statistical modeling
Education
Regions
Countries
States
Cities
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