AI Engineer
Tasks
- Apply MLOps practices for versioning and evaluation
- Build and operate AI services in production
- Conduct AI risk assessment validation and traceability
- Create documentation architecture decisions and model evaluations
- Deploy and support AI ML and LLM systems
- Design AI enabled services products and workflows
- Document system behavior operational procedures and design decisions
- Ensure operational readiness and reliability
- Evaluate tools and approaches to improve reliability and productivity
- Implement automated build and release patterns
- Integrate AI capabilities with enterprise systems
- Mentor team members and support knowledge sharing
- Monitor system behavior and troubleshoot issues
- Perform safe rollout and operational risk management
- Review code quality for correctness security and maintainability
- Support explainability bias evaluation and safety controls
Perks/Benefits
- N/A
Skills/Tech-stack
Automated testing | Azure | Debugging | Deep learning | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Monitoring | Python | Release Management | Safe rollout | Secure Software | Secure Software Development | Software development | Version control
Education
N/A
Roles
AI | AI Engineer | Engineer
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