AI/Machine Learning, Summer Intern (Hybrid)
Tasks
- Apply LLM generative AI techniques
- Build LLM based data driven tools
- Build carbon footprint calculators
- Build cloud-based data pipelines
- Build component availability models
- Create data dashboards
- Design AI prototypes
- Develop demand forecasting models
- Develop machine learning models
- Develop predictive supply chain risk models
- Prepare executive presentations
- Prototype quickly using rapid iteration
- Train and validate machine learning models
- Transform supply chain data
- Use Python machine learning libraries
- Write SQL queries
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Carbon Accounting | Classification | Dashboards | Data Pipelines | GCP | Generative AI | Langchain | Language Models | Large Language Models | Life Cycle Assessment | Machine Learning | NumPy | OpenAI API | Pandas | Prompt engineering | PyTorch | Python | RAG | Regression | SQL | Scikit-learn | TensorFlow | Time Series
Education
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