AI and ML Power Methodology Engineer
Tasks
- Build dataset collection building and annotation tools
- Create data pipelines for power data collection
- Create data visualizations for analysis and insights
- Design LLM tools for power pattern analysis and debugging
- Develop retrieval-augmented generation pipelines
- Develop storage and retrieval for databases
- Generate optimized code for power optimization
- Implement vector databases and agent frameworks
- Improve GPU energy efficiency
- Research and develop AI/ML/DL methodologies for power estimation
- Train and fine-tune large language models
Perks/Benefits
Skills/Tech-stack
Agentic Frameworks | C++ | Data Annotation | Data Pipelines | Data Visualization | Database Storage | Database storage and retrieval | Dataset Building | Deep learning | Language Models | Large Language Models | Machine Learning | Python | Retrieval-Augmented Generation | Storage and retrieval | Vector Database
Education
Regions
Countries
States
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