Internship - Time Series Foundation Model for Edge AI applications
Tasks
- Adapt models for edge platforms
- Analyze model performance
- Apply knowledge distillation
- Apply model pruning
- Apply quantization techniques
- Collaborate with cross-functional teams
- Conduct pattern recognition experiments
- Design sequence modeling architectures
- Develop time series foundation models
- Execute dataset preparation
- Implement forecasting models
- Perform anomaly detection
- Run model experiments
- Support integration into prototype systems
- Train and evaluate machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Edge Computing | Embedded Systems | Knowledge Distillation | Machine Learning | Neural Networks | Pruning | PyTorch | Python | Quantization | Series analysis | TensorFlow | Time Series | Time Series Analysis | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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