AI Engineer
Tasks
- Automate model deployment workflows
- Build machine learning and LLM pipelines
- Collaborate with clinicians and data scientists on AI workflows
- Deploy monitor and govern AI systems
- Design AI and machine learning infrastructure
- Implement MLOps and LLMOps practices
- Ingest process and train AI models
- Integrate ML and LLM models into production
- Manage secure and compliant AI data handling
- Monitor system behavior and model drift
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AKS | API Development | Application Insights | Automated testing | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | B testing | CI/CD | Canary deployments | Container Apps | Data models | Drift monitoring | EPIC Clarity | Embeddings | FHIR | GitOps | HIPAA | HL7 | Healthcare Data | Healthcare Data Models | Kubernetes Service | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Model versioning | Observability | PHI PII Security | PHI/PII | PII security | Python
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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