Healthcare AI Engineer - AIT
Tasks
- Build AI agents for clinical workflows
- Collaborate with interdisciplinary teams
- Create dashboards and reporting
- Design predictive and generative models
- Develop AI solutions with LLMs
- Develop APIs and data pipelines
- Develop production AI workflows with MLOps
- Implement AI governance and monitoring
- Integrate EHR and clinical data sources
- Support AI research and analytics
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | Azure | Bias detection | Cloud platform | Data Pipelines | Deep learning | Docker | Drift management | EHR Integration | Explainability | FHIR | Google Cloud | Google Cloud Platform | HIPAA | HL7 | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | SQL | Scikit-learn | Statistical modeling | TensorFlow
Education
Master of Engineering | Master of Science | Master of Science in Artificial Intelligence | Master of Science in Biomedical Informatics | Master of Science in Computer Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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