Principal Applied AI App Engineer
Tasks
- Apply bias mitigation and explainability techniques
- Design AI-based solutions
- Design and develop production applications
- Ensure security privacy compliance and ethical AI usage
- Follow secure coding and access control best practices
- Implement guardrails for responsible AI
- Integrate models into APIs services workflows and UIs
- Manage model versioning deployment monitoring and updates
- Mentor team members on AI engineering best practices
- Monitor model behavior and data quality
- Operationalize prebuilt models with data science teams
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Access Control | Algorithms | Azure | Bias Mitigation | C# | Cloud platform | Compliance | Container Orchestration | Data Structures | Deep learning | Docker | Evaluation | Explainability | Google Cloud | Google Cloud Platform | Java | Language Models | Large Language Models | Machine Learning | Model Deployment | Model Monitoring | Model versioning | Observability | Privacy | Prompt engineering | Python | RAG | Responsible AI | Retrieval-Augmented Generation | Secure Coding | Security | System design
Education
N/A
Regions
Countries
States
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