Principal Applied AI App Engineer
Tasks
- Apply bias mitigation explainability and monitoring
- Design AI-based solutions
- Design and develop production grade applications
- Ensure security privacy compliance and ethical AI usage
- Follow secure coding and access control best practices
- Implement guardrails for model behavior and data quality
- Integrate machine learning models into APIs services workflows and UIs
- Manage model versioning deployment monitoring and updates
- Mentor team members on AI engineering best practices
- Operationalize prebuilt models
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Access Control | Automation | Azure | Bias Mitigation | C# | Cloud Computing | Cloud platform | Compliance | Data Quality | Deep learning | Docker | Evaluation | Explainability | Generative AI | Google Cloud | Google Cloud Platform | Java | Kubernetes | Language Models | Large Language Models | Machine Learning | Model Deployment | Model Monitoring | Observability | Privacy | Prompt engineering | Python | RAG | Responsible AI | Security | System design
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | Principal | Principal AI Engineer
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