Cloud Data and AI Engineer, Professional Services
Tasks
- Analyze on premise and cloud databases
- Deliver tutorials and technical presentations
- Design build and maintain data and AI solutions
- Guide customers to design and deploy data and AI solutions
- Provide architecture guidance best practices and troubleshooting
- Translate business requirements into data models
Perks/Benefits
Skills/Tech-stack
AlloyDB | Aurora | Bigtable | C++ | Capacity Planning | Cloud Databases | Cloud SQL | Cloud platform | Data Migration | Data Pipeline Development | Data Warehousing | Data pipeline | Database Administration | Database security | Datastore | Disaster Recovery | ELT | ETL | ElastiCache | Google Cloud | Google Cloud Platform | Java | Language Models | Large Language Models | Logging | MLOps | Machine Learning | Monitoring | Performance Tuning | Pipeline Development | Python | RDS | Relational databases | SQL
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI Engineer | Cloud Data and AI Engineer | Cloud) | Data and AI Engineer | Engineer
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