Applied Scientist, AMXL Worldwide Science
Tasks
- Analyze operational data for bottlenecks
- Apply machine learning to routing optimization
- Build automated data pipelines for training and validation
- Deploy models in production systems
- Develop and validate machine learning models
- Experiment with Generative AI and LLMs
- Forecast demand using time series modeling
- Monitor model performance and report metrics
- Optimize network design using operations research
- Plan capacity using statistical techniques
- Prototype new modeling approaches
- Schedule workforce using predictive models
Perks/Benefits
- N/A
Skills/Tech-stack
C# | C++ | Data Warehousing | Generative AI | Java | Language Models | Large Language Models | Machine Learning | Operations Research | Python | RDBMS | SQL | Series modeling | Time Series | Time Series Modeling
Education
N/A
Roles
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