AI Data Platform Engineer - Manufacturing Systems and Infrastructure
Tasks
- Build reusable platform services
- Design scalable AI data platforms
- Develop data pipelines
- Enable GenAI and agentic AI solutions
- Implement data quality frameworks
- Implement dataset evaluation and observability
- Manage dataset versioning and metadata
- Operate data platforms
- Transform enterprise and multimodal data into AI ready datasets
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Airflow | Apache Iceberg | Apache Kafka | Apache Spark | Batch Processing | CI/CD | Data Governance | Data Lake | Data Lineage | Data Validation | Delta Lake | Distributed Systems | Docker | Embeddings | Infrastructure as Code | Java | Kubeflow | Kubernetes | Lakehouse | MLflow | Metadata Management | Microservices | Pandas | PySpark | Python | RAG | Ray | SQL | Scala | Streaming Data | Vector Databases | “as-code”
Education
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