Senior AI Engineer
Tasks
- Build automated ML and LLM delivery pipelines
- Build production AI services and pipelines
- Define reference architectures and reusable patterns
- Deploy controlled releases and rollback procedures
- Design AI solutions end to end
- Design GenAI evaluation and monitoring approaches
- Develop Retrieval-augmented generation solutions
- Establish model versioning and reproducibility standards
- Implement AI governance in engineering workflows
- Maintain documentation and knowledge sharing
- Mentor engineers and raise technical standards
- Package and deploy models as scalable services
- Resolve production incidents for AI systems
- Review AI solution designs for security and governance
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Agent workflows | Alerting | Auditability | Automation | Azure | Cloud platform | Data Governance | Embeddings | Google Cloud | Google Cloud Platform | LLMOps | Language Models | Large Language Models | Logging | MLOps | Machine Learning | Model Risk Management | Model risk | Monitoring | Observability | Performance optimization | Python | Reliability | Retrieval-Augmented Generation | Risk Management | SQL | Scalability | Security | Semantic Search
Roles
Regions
Countries
States
Cities
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