Engineering Manager, AI Data Platforms & Quality
Tasks
- Build AI data platforms
- Build data pipelines
- Build observability for data platforms
- Define technical strategy
- Deliver metadata management
- Design AI ready dataset architectures
- Design data products
- Develop data quality capabilities
- Implement data validation frameworks
- Lead engineering team
- Manage data governance and lineage
- Partner with AI ML product and business teams
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agent | AI agent workflows | API Development | AWS | Agent workflows | Apache Airflow | Apache Kafka | Apache Spark | CI/CD | Cloud platform | Data Curation | Data Governance | Data Ingestion | Data Lakehouse | Data Lineage | Data Pipelines | Data Quality | Data Validation | Data profiling | Distributed Systems | Docker | Embeddings | GenAI | Google Cloud | Google Cloud Platform | Kubernetes | Language Models | Large Language Models | Metadata Management | Microsoft Azure | Observability | Python | RAG | Retrieval-Augmented Generation | SQL
Education
N/A
Regions
Countries
States
Cities
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