AI Data Platform Engineer (MLOps)
Tasks
- Build vector database pipelines
- Collaborate with data teams in agile delivery
- Design knowledge graph pipelines
- Develop data APIs and services
- Enrich metadata and enable Text-to-SQL
- Implement RAG and semantic search
- Integrate structured and unstructured data sources
- Monitor and observe production systems
- Prepare solutions for production rollout
Perks/Benefits
- Benefit bonus
- Life insurance
- Nature activities
- Paid training
- Private medical insurance
- Sports activities
- Streaming subscription
- Telework flexibility
- Wellbeing program
Skills/Tech-stack
AWS | AWS Bedrock | Aurora PostgreSQL | Azure | CI/CD | Cypher | Data Lakes | Databricks | DevOps | Docker | Event Driven | Event-driven architecture | FastAPI | Filenet | Git | Gremlin | Kafka | Knowledge graphs | Kubernetes | LLM integration | Metadata enrichment | OCR | Observability | Performance Tuning | PostgreSQL | PostgreSQL Performance | PostgreSQL performance tuning | Python | RAG | S3 | SPARQL | SQL | Semantic Search | Semantic layer | SharePoint | Spark | Terraform | Text-to-SQL | Vector Search
Education
N/A
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