AI/ML Engineer
Tasks
- Deploy AI/ML models
- Develop and implement AI/ML algorithms
- Ensure HIPAA and privacy compliance
- Extract, transform, and preprocess healthcare data
- Identify healthcare challenges for AI/ML solutions
- Improve patient outcomes with AI ML models
- Validate and optimize AI ML models with clinical input
Perks/Benefits
- Employee assistance program
- Employer 403b Match
- Employer paid life and disability insurance
- Flexible spending accounts
- Health Savings Account contribution
- Medical, dental, and vision insurance
- Paid Holidays
- Paid parental leave
- Paid time off
- Tuition assistance
- Wellbeing programs
Skills/Tech-stack
Cloud Computing | Data Preprocessing | Deep learning | Electronic Health Records | Feature Engineering | GDPR | Genomic data | HIPAA | Health Records | Healthcare Data | Language Processing | Machine Learning | Medical Imaging | Model Optimization | Model Validation | Natural Language | Natural Language Processing | On-Premises | On-premises deployment | PyTorch | Python | SQL | Statistical modeling | TensorFlow
Education
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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