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AI/ML Engineering Interns
AI/ML interns are assessed on Python fluency, LLM API integration, RAG pipeline fundamentals, and prompt engineering patterns. They are matched to teams building GenAI-assisted features, internal AI tools, or model evaluation workflows.
PythonLangChainRAGPyTorchPrompt Engineering
What ai/ml interns do
- ✓Build and evaluate RAG pipelines and LLM-powered features
- ✓Implement prompt engineering patterns for production use cases
- ✓Integrate AI APIs into existing product workflows
- ✓Evaluate model outputs against defined quality benchmarks
Sample readiness profile
79%JD assessment score (avg)
2+AI/ML and RAG project proof points
14 daysTime to first sprint contribution
30 hrsYear 2 weekly availability
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