Applied Scientist, Amazon Supply Chain
Tasks
- Automate supply chain workflows
- Build anomaly detection systems
- Build demand forecasting models
- Build inventory optimization models
- Build model evaluation harnesses
- Collaborate with engineering, product, and business stakeholders
- Define ML data requirements
- Deploy machine learning models
- Deploy models to production
- Design machine learning models
- Design model architectures
- Develop machine learning algorithms
- Execute A/B testing
- Implement agentic AI pipelines
- Implement generative AI solutions
- Perform code reviews
- Plan ML experiments
- Present technical results to stakeholders
- Provide design feedback
- Publish ML research
- Run offline model evaluation
- Set evaluation metrics
- Share technical knowledge
- Support patent filings
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Agent Orchestration | Agentic AI | Anomaly Detection | B testing | Data Requirements | Deep learning | Demand forecasting | Distributed Systems | Evaluation metrics | Experimentation | Generative AI | Inventory optimization | Language Models | Large Language Models | Machine Learning | Model Architecture | Model Validation | Multi-Agent | Multi-agent orchestration | Optimization | Prompt engineering | Python | Responsible AI | Retrieval-Augmented Generation | Series modeling | Spark | Time Series | Time Series Modeling
Education
Roles
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