AI/Machine Learning Engineer
Tasks
- Build machine learning pipelines
- Clean preprocess normalize healthcare data
- Deploy machine learning models
- Design machine learning models
- Develop dashboards and visualizations
- Develop deep learning models
- Develop model governance frameworks
- Document model lifecycle
- Ensure FISMA compliance
- Ensure FedRAMP compliance
- Ensure HIPAA compliance
- Ensure model explainability
- Fine-tune models
- Implement access controls
- Implement differential privacy
- Implement encryption
- Integrate pipelines with cloud services
- Maintain model retraining schedules
- Mitigate model bias
- Monitor model accuracy
- Monitor model drift
- Monitor model operational effectiveness
- Prepare audit documentation
- Prepare validation reports
- Present machine learning findings to stakeholders
- Prototype and test NLP and computer vision solutions
- Validate model performance
Perks/Benefits
- 401k matching
- Education assistance program
- Employee recognition
- Employer Paid Long-term Disability
- Employer Paid Short-term Disability
- Employer-paid life insurance
- Flexible spending accounts
- Paid time off
- Profit sharing
- Referral programs
- Remote work
- Training and development
Skills/Tech-stack
AI RMF | AWS SageMaker | Access Control | Agentic Graphs | Apache Spark | Azure ML | CI/CD | Computer Vision | Databricks | Differential Privacy | Encryption | FHIR | FISMA | FedRAMP | Git | GitHub | GitLab | HIPAA | HL7 | Hugging Face | Hugging Face Transformers | Infrastructure as Code | Java | JavaScript | Knowledge graphs | Language Processing | MLOps | Model version control | NIST AI | NIST AI RMF | Natural Language | Natural Language Processing | Plotly | Power BI | PyTorch | Python | R | Real Time | Real-time monitoring | Retrieval-Augmented Generation | Scikit-learn | Tableau | TensorFlow | Transformers | Version control | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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