AI Engineer
Pier 1 Bay 1A, United States
USD 168K-270K Mid-level Full Time Found 3d ago
Tasks
- Automate deployment workflows
- Build and operate ML and LLM pipelines
- Collaborate with cross-functional teams
- Deploy and monitor AI models
- Design and maintain AI/ML infrastructure
- Develop AI platform architecture
- Document technical processes and communicate with stakeholders
- Ensure AI systems meet standards of performance, security, and compliance
- Evaluate and improve machine learning models
- Handle structured and unstructured healthcare data
- Integrate research or vendor models into workflows
- Lead AI operations and MLOps practices
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Application Insights | Azure | Azure ML | CI/CD | Caboodle | Containerization | Data Security | Data Standards | Docker | EPIC Clarity | FHIR | GitOps | HL7 | Healthcare Data | Healthcare data standards | Kubernetes | LLM | ML frameworks | MLOps | Model versioning | Observability | Python
Roles
Regions
Countries
States
Language: en |
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