AI Engineer
Tasks
- Build data lakes and ingestion pipelines
- Configure observability and monitoring
- Define target AI platform architecture
- Deploy vector stores
- Design cloud hybrid data platform
- Develop agent orchestrators
- Ensure security compliance governance
- Implement data quality and lineage
- Implement rag pipelines
- Set up CI CD for LLM pipelines
Perks/Benefits
Skills/Tech-stack
AI Act | AI Governance | AWS | Apache Airflow | Apache Spark | Azure | CI/CD | Cloud Architecture | Cloud platform | Data Ingestion | Data Lakes | Data Lineage | Data Quality | DataOps | GDPR | Google Cloud | Google Cloud Platform | LLMOps | Lakehouse | Langchain | Llamaindex | Monitoring | Observability | Python | RAG | Retrieval-Augmented Generation | Security Compliance | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Consultant | Data Engineer | Data Platform | Data Platform Consultant | Engineer | Platform Consultant
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