AI Engineer
USD 100K-208K (estimate) Mid-level Full Time
Tasks
- Apply security and compliance controls
- Build prototypes and proof of concept
- Collaborate with architects and business users
- Create AI components for citizen developers
- Deploy LLM powered solutions
- Develop AI applications and integrations
- Fine-tune AI models
- Implement AI governance and documentation
- Implement AI monitoring alerting and optimization
- Maintain AI code and deployment pipelines
- Monitor AI system performance
- Optimize AI quality responsiveness cost
- Research emerging AI technologies
- Troubleshoot deployed AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | AI Services | API | Automation | Azure AI | Azure AI Services | CI/CD | Containerization | Copilot | Data Processing | Deployment Automation | Docker | ETL | Fine Tuning | Kubernetes | Language Models | Language Processing | Large Language Models | Microsoft Power | Microsoft Power Apps | Microsoft Power Automate | Microsoft Power Platform | Model Deployment | Model Fine-tuning | Model Risk Management | Model risk | Monitoring | Natural Language | Natural Language Processing | Optimization | Power Apps | Power Automate | Power Platform | Python | Risk Management | Security Compliance | Testing | Version control
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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