Principal Applied AI App Engineer
Tasks
- Apply bias mitigation explainability and monitoring
- Design AI-based solutions
- Design and develop production-grade AI applications
- Embed machine learning and generative AI capabilities
- Ensure enterprise standards for security privacy compliance and ethical AI usage
- Follow secure coding and access control best practices
- Implement guardrails for model behavior data quality and responsible AI usage
- Integrate trained models into APIs services workflows and UIs
- Mentor team members and share best practices
- Operationalize prebuilt models
- Support model versioning deployment monitoring and updates
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Access Control | Algorithms | Azure | Bias Mitigation | C# | Cloud platform | Containerization | Data Structures | Deep learning | Explainability | Generative AI | Google Cloud | Google Cloud Platform | Java | LLM Evaluation | Language Models | Large Language Models | Machine Learning | Model Deployment | Model Monitoring | Model versioning | Monitoring | Observability | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Secure Coding | System design
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | Principal | Principal AI Engineer
Regions
Countries
States
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