Principal Applied AI App Engineer
Tasks
- Add guardrails for responsible AI usage and data quality
- Apply bias mitigation explainability and monitoring
- Design AI solution architecture
- Develop production-grade AI applications
- Ensure security privacy compliance and ethical AI standards
- Follow secure coding and access control best practices
- Implement model versioning deployment monitoring and updates
- Integrate machine learning models into APIs services workflows and UIs
- Mentor team members on AI engineering best practices
- Operationalize prebuilt models with data science teams
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Access Control | Azure | Bias Mitigation | C# | Cloud deployment | Cloud platform | Compliance | Containerization | Deep learning | Docker | Evaluation | Explainability | Generative AI | Google Cloud | Google Cloud Platform | Java | Language Models | Large Language Models | Machine Learning | Model Monitoring | Observability | Privacy | Prompt engineering | Python | RAG | Responsible AI | Secure Coding | Security
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | Principal | Principal AI Engineer
Regions
Countries
States
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