Senior AI Data Engineer
Tasks
- Build data versioning lineage and reproducibility systems
- Collaborate with AI robotics and infrastructure teams on use cases
- Contribute to monitoring observability and data quality tooling
- Design and build data pipelines for multi modal data ingestion and processing
- Enable efficient data access for AI simulation and deployment teams
- Implement AWS data storage and processing systems
- Optimize data handling for large scale memory intensive workloads
- Own and evolve data platform for reliability scalability and usability
Perks/Benefits
Skills/Tech-stack
AWS | Amazon S3 | Apache Airflow | Asynchronous programming | Cassandra | CloudFormation | Coral | DVC | Dagster | Data Lake | Data Lineage | Data Versioning | Data pipeline | Edge Computing | Grafana | Isaac Sim | Jetson | LakeFS | MLflow | Memory Efficient Processing | MongoDB | NXP | Observability | Pachyderm | Plotly | Prefect | Pulumi | Python | ROS | ROS2 | SQLite | Streaming Data | Synthetic data | Telemetry data | Terraform | Unity
Education
N/A
Roles
AI | AI Data Engineer | Data Engineer | Engineer | Senior AI Data Engineer
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