Data & AI Scientist
Tasks
- Build data pipelines
- Create simulation to real pipelines
- Design scalable data architecture
- Develop infrastructure for foundation models
- Ensure data quality, governance, and compliance
- Integrate VLM and VLA with robotics systems
- Integrate sensory and control data for model training
- Provide guidance on data driven methods and AI architecture
- Support AI model development and deployment
- Train and fine-tune large models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Action models | Apache Spark | Azure | Batch Processing | Data Architecture | Data Governance | Data Pipelines | Data Quality | Data Security | Deep learning | Digital Twins | Foundation Models | Hadoop | Language Models | Large Language Models | Machine Learning | Motion Control | Python | Reinforcement Learning | Robotics | Sensor data | Simulation | Streaming processing | Telemetry | Vision Language Models | Vision-Language-Action Models | Vision-language | Vision-language-action
Education
Roles
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