AI Lead
Tasks
- Architect agentic AI ecosystems
- Architect secure scalable cloud applications
- Build large language model RAG systems
- Coordinate cross-functional stakeholders
- Deploy predictive forecasting models
- Deploy self service AI tools
- Design AI solution architecture
- Design DataOps pipelines
- Design MLOps pipelines
- Develop enterprise AI roadmaps
- Develop natural language processing solutions
- Ensure reproducible deployments
- Establish machine learning best practices
- Implement AI orchestration workflows
- Implement CI/CD pipelines
- Implement automated retraining pipelines
- Implement monitoring and observability
- Lead end-to-end AI initiatives
- Manage data drift detection
- Mentor engineering and AI talent
- Optimize engineering workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Amazon AgentCore | Amazon OpenSearch | Amazon QuickSight | Artificial Intelligence | Automated retraining | CI/CD | Continuous Deployment | Continuous integration | DataOps | Datadog | Docker | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microsoft Azure | Monitoring | Natural Language | Natural Language Processing | NoSQL | Observability | Orchestration | RAG | Retrieval-Augmented Generation | SQL | Vector Databases | Vector Search
Education
Roles
AI | AI Lead | Engineer | Lead | Learning Engineer | Machine Learning Engineer
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