ML Ops / Data Engineer - Robotics
Tasks
- Build data pipelines
- Collaborate with engineering teams
- Design data storage
- Document data architectures
- Implement ML-Ops workflows
- Maintain data quality
- Optimize system performance
- Process sensor telemetry
Perks/Benefits
- Beverages on-site
- Career development opportunities
- Relocation assistance
- Social events
- Stock options
Skills/Tech-stack
Action Planning | Avro | Batch Processing | Big Data | Big-data frameworks | Cloud Platforms | CloudFormation | Containerization | DVC | Data Frameworks | Data Lakes | Data Processing | Data Warehouses | Distributed Systems | ELT | ETL | Edge Computing | Kubernetes | Language Models | MLflow | Parquet | Planning Models | Python | Real Time | Real-time Data | Real-time Data Processing | SQL | Sensor Data Processing | Sensor data | Streaming processing | Terraform | Vision Language Models | Vision-language
Education
Roles
Regions
Countries
States
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